Overview

Brought to you by YData

Dataset statistics

Number of variables450
Number of observations104
Missing cells0
Missing cells (%)0.0%
Total size in memory365.8 KiB
Average record size in memory3.5 KiB

Variable types

Numeric450

Alerts

gmrt_in_air1 has unique valuesUnique
gmrt_on_paper1 has unique valuesUnique
max_y_extension1 has unique valuesUnique
mean_acc_in_air1 has unique valuesUnique
mean_acc_on_paper1 has unique valuesUnique
mean_gmrt1 has unique valuesUnique
mean_jerk_in_air1 has unique valuesUnique
mean_jerk_on_paper1 has unique valuesUnique
mean_speed_in_air1 has unique valuesUnique
mean_speed_on_paper1 has unique valuesUnique
pressure_mean1 has unique valuesUnique
pressure_var1 has unique valuesUnique
total_time1 has unique valuesUnique
gmrt_in_air2 has unique valuesUnique
gmrt_on_paper2 has unique valuesUnique
mean_acc_in_air2 has unique valuesUnique
mean_acc_on_paper2 has unique valuesUnique
mean_gmrt2 has unique valuesUnique
mean_jerk_in_air2 has unique valuesUnique
mean_jerk_on_paper2 has unique valuesUnique
mean_speed_in_air2 has unique valuesUnique
mean_speed_on_paper2 has unique valuesUnique
pressure_mean2 has unique valuesUnique
pressure_var2 has unique valuesUnique
total_time2 has unique valuesUnique
gmrt_in_air3 has unique valuesUnique
gmrt_on_paper3 has unique valuesUnique
mean_acc_in_air3 has unique valuesUnique
mean_acc_on_paper3 has unique valuesUnique
mean_gmrt3 has unique valuesUnique
mean_jerk_in_air3 has unique valuesUnique
mean_jerk_on_paper3 has unique valuesUnique
mean_speed_in_air3 has unique valuesUnique
mean_speed_on_paper3 has unique valuesUnique
paper_time3 has unique valuesUnique
pressure_mean3 has unique valuesUnique
pressure_var3 has unique valuesUnique
gmrt_in_air4 has unique valuesUnique
gmrt_on_paper4 has unique valuesUnique
mean_acc_in_air4 has unique valuesUnique
mean_acc_on_paper4 has unique valuesUnique
mean_gmrt4 has unique valuesUnique
mean_jerk_in_air4 has unique valuesUnique
mean_jerk_on_paper4 has unique valuesUnique
mean_speed_in_air4 has unique valuesUnique
mean_speed_on_paper4 has unique valuesUnique
paper_time4 has unique valuesUnique
pressure_mean4 has unique valuesUnique
pressure_var4 has unique valuesUnique
gmrt_in_air5 has unique valuesUnique
gmrt_on_paper5 has unique valuesUnique
mean_acc_in_air5 has unique valuesUnique
mean_acc_on_paper5 has unique valuesUnique
mean_gmrt5 has unique valuesUnique
mean_jerk_in_air5 has unique valuesUnique
mean_jerk_on_paper5 has unique valuesUnique
mean_speed_in_air5 has unique valuesUnique
mean_speed_on_paper5 has unique valuesUnique
paper_time5 has unique valuesUnique
pressure_mean5 has unique valuesUnique
pressure_var5 has unique valuesUnique
total_time5 has unique valuesUnique
gmrt_in_air6 has unique valuesUnique
gmrt_on_paper6 has unique valuesUnique
mean_acc_in_air6 has unique valuesUnique
mean_acc_on_paper6 has unique valuesUnique
mean_gmrt6 has unique valuesUnique
mean_jerk_in_air6 has unique valuesUnique
mean_jerk_on_paper6 has unique valuesUnique
mean_speed_in_air6 has unique valuesUnique
mean_speed_on_paper6 has unique valuesUnique
pressure_mean6 has unique valuesUnique
pressure_var6 has unique valuesUnique
total_time6 has unique valuesUnique
gmrt_in_air7 has unique valuesUnique
gmrt_on_paper7 has unique valuesUnique
max_x_extension7 has unique valuesUnique
mean_acc_in_air7 has unique valuesUnique
mean_acc_on_paper7 has unique valuesUnique
mean_gmrt7 has unique valuesUnique
mean_jerk_in_air7 has unique valuesUnique
mean_jerk_on_paper7 has unique valuesUnique
mean_speed_in_air7 has unique valuesUnique
mean_speed_on_paper7 has unique valuesUnique
pressure_mean7 has unique valuesUnique
pressure_var7 has unique valuesUnique

Reproduction

Analysis started2025-11-14 17:31:49.602044
Analysis finished2025-11-14 17:31:52.199639
Duration2.6 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

air_time1
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5626.096154
Minimum65
Maximum109965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:52.339355image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum65
5-th percentile542.5
Q11706.25
median2965
Q35130
95-th percentile12977
Maximum109965
Range109900
Interquartile range (IQR)3423.75

Descriptive statistics

Standard deviation12288.91849
Coefficient of variation (CV)2.184270968
Kurtosis52.82277065
Mean5626.096154
Median Absolute Deviation (MAD)1635
Skewness6.74377199
Sum585114
Variance151017517.7
MonotonicityNot monotonic
2025-11-14T18:31:52.430724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34902
 
1.9%
4652
 
1.9%
19202
 
1.9%
9002
 
1.9%
62652
 
1.9%
48601
 
1.0%
83851
 
1.0%
8351
 
1.0%
129801
 
1.0%
23101
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
651
1.0%
4001
1.0%
4401
1.0%
4652
1.9%
5201
1.0%
ValueCountFrequency (%)
1099651
1.0%
519801
1.0%
323001
1.0%
260501
1.0%
218001
1.0%

disp_index1
Real number (ℝ)

Distinct85
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.002211538 × 10-5
Minimum1.68 × 10-6
Maximum2.83 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:52.543963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.68 × 10-6
5-th percentile5.2575 × 10-6
Q18.0125 × 10-6
median9.58 × 10-6
Q31.175 × 10-5
95-th percentile1.5755 × 10-5
Maximum2.83 × 10-5
Range2.662 × 10-5
Interquartile range (IQR)3.7375 × 10-6

Descriptive statistics

Standard deviation3.553596748 × 10-6
Coefficient of variation (CV)0.3545755175
Kurtosis6.256699114
Mean1.002211538 × 10-5
Median Absolute Deviation (MAD)1.87 × 10-6
Skewness0
Sum0.0010423
Variance1.262804985 × 10-11
MonotonicityNot monotonic
2025-11-14T18:31:52.769754image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.05 × 10-53
 
2.9%
1.11 × 10-53
 
2.9%
1.14 × 10-53
 
2.9%
1.2 × 10-52
 
1.9%
1.07 × 10-52
 
1.9%
1.26 × 10-52
 
1.9%
1.27 × 10-52
 
1.9%
1.01 × 10-52
 
1.9%
1.29 × 10-52
 
1.9%
8.75 × 10-62
 
1.9%
Other values (75)81
77.9%
ValueCountFrequency (%)
1.68 × 10-61
1.0%
3.12 × 10-61
1.0%
3.81 × 10-61
1.0%
3.99 × 10-61
1.0%
4.67 × 10-61
1.0%
ValueCountFrequency (%)
2.83 × 10-51
1.0%
1.92 × 10-51
1.0%
1.86 × 10-51
1.0%
1.6 × 10-51
1.0%
1.58 × 10-52
1.9%

gmrt_in_air1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.0414796
Minimum37.10275148
Maximum1168.328276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:52.863159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum37.10275148
5-th percentile115.4302613
Q1175.7653787
median255.7914516
Q3357.088639
95-th percentile686.1162737
Maximum1168.328276
Range1131.225525
Interquartile range (IQR)181.3232603

Descriptive statistics

Standard deviation198.9807214
Coefficient of variation (CV)0.6566121628
Kurtosis4.903200827
Mean303.0414796
Median Absolute Deviation (MAD)91.7999658
Skewness1.977060789
Sum31516.31388
Variance39593.32747
MonotonicityNot monotonic
2025-11-14T18:31:52.959074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236.87631241
 
1.0%
174.43589321
 
1.0%
436.19229011
 
1.0%
164.87582091
 
1.0%
668.84204491
 
1.0%
142.63945141
 
1.0%
274.90386731
 
1.0%
257.9971311
 
1.0%
284.7969431
 
1.0%
262.92907381
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
37.102751481
1.0%
65.234660881
1.0%
76.726688521
1.0%
78.339161131
1.0%
102.98136561
1.0%
ValueCountFrequency (%)
1168.3282761
1.0%
1014.294151
1.0%
935.80582111
1.0%
875.8110291
1.0%
703.85692841
1.0%

gmrt_on_paper1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.3413465
Minimum47.35498966
Maximum865.2105219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:53.078489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum47.35498966
5-th percentile80.21771156
Q1121.4004811
median175.1060657
Q3241.2949222
95-th percentile434.1341022
Maximum865.2105219
Range817.8555322
Interquartile range (IQR)119.8944411

Descriptive statistics

Standard deviation125.9653147
Coefficient of variation (CV)0.6194771344
Kurtosis7.972309418
Mean203.3413465
Median Absolute Deviation (MAD)59.8561505
Skewness2.318157044
Sum21147.50004
Variance15867.2605
MonotonicityNot monotonic
2025-11-14T18:31:53.176075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
308.57598481
 
1.0%
158.66127151
 
1.0%
152.42630421
 
1.0%
68.571635121
 
1.0%
279.90756651
 
1.0%
104.09372931
 
1.0%
250.47240161
 
1.0%
111.2758891
 
1.0%
176.87303161
 
1.0%
245.36781021
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
47.354989661
1.0%
56.248264171
1.0%
66.13792031
1.0%
68.571635121
1.0%
72.407530281
1.0%
ValueCountFrequency (%)
865.21052191
1.0%
659.27525341
1.0%
498.89081711
1.0%
497.85181131
1.0%
460.77360761
1.0%

max_x_extension1
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1977.903846
Minimum754
Maximum11195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:53.267379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum754
5-th percentile987.45
Q11373.5
median1691
Q32188.75
95-th percentile3677.05
Maximum11195
Range10441
Interquartile range (IQR)815.25

Descriptive statistics

Standard deviation1224.826752
Coefficient of variation (CV)0.6192549525
Kurtosis31.41736077
Mean1977.903846
Median Absolute Deviation (MAD)359
Skewness4.685493042
Sum205702
Variance1500200.573
MonotonicityNot monotonic
2025-11-14T18:31:53.363433image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13352
 
1.9%
13362
 
1.9%
14272
 
1.9%
31711
 
1.0%
16941
 
1.0%
26901
 
1.0%
10731
 
1.0%
9871
 
1.0%
21801
 
1.0%
10571
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
7541
1.0%
7861
1.0%
8161
1.0%
9011
1.0%
9571
1.0%
ValueCountFrequency (%)
111951
1.0%
55681
1.0%
51041
1.0%
39371
1.0%
39091
1.0%

max_y_extension1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7306
Minimum561
Maximum13493
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:53.491205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum561
5-th percentile4362.9
Q16058.5
median7004.5
Q38320.75
95-th percentile11311.65
Maximum13493
Range12932
Interquartile range (IQR)2262.25

Descriptive statistics

Standard deviation2118.8762
Coefficient of variation (CV)0.2900186422
Kurtosis1.403821451
Mean7306
Median Absolute Deviation (MAD)1106.5
Skewness0.5114385349
Sum759824
Variance4489636.35
MonotonicityNot monotonic
2025-11-14T18:31:53.584245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73481
 
1.0%
59621
 
1.0%
56861
 
1.0%
72221
 
1.0%
69631
 
1.0%
65081
 
1.0%
78531
 
1.0%
47321
 
1.0%
72661
 
1.0%
31971
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
5611
1.0%
31971
1.0%
40591
1.0%
42111
1.0%
42491
1.0%
ValueCountFrequency (%)
134931
1.0%
134141
1.0%
125621
1.0%
123131
1.0%
117291
1.0%

mean_acc_in_air1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4235050301
Minimum0.127188414
Maximum2.772565516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:53.706494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.127188414
5-th percentile0.1871906114
Q10.2151259772
median0.29027712
Q30.4648933908
95-th percentile0.9769935603
Maximum2.772565516
Range2.645377102
Interquartile range (IQR)0.2497674135

Descriptive statistics

Standard deviation0.3843650331
Coefficient of variation (CV)0.9075807978
Kurtosis18.00248048
Mean0.4235050301
Median Absolute Deviation (MAD)0.082082924
Skewness3.740202511
Sum44.04452313
Variance0.1477364786
MonotonicityNot monotonic
2025-11-14T18:31:53.846262image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2770213831
 
1.0%
0.2096760031
 
1.0%
0.2585024951
 
1.0%
0.413151311
 
1.0%
0.4603933551
 
1.0%
0.2152184271
 
1.0%
0.3224732461
 
1.0%
0.2660766061
 
1.0%
1.1943957411
 
1.0%
0.1796332781
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.1271884141
1.0%
0.1738713371
1.0%
0.1796332781
1.0%
0.1804082031
1.0%
0.1827359781
1.0%
ValueCountFrequency (%)
2.7725655161
1.0%
2.3114239981
1.0%
1.27917061
1.0%
1.1943957411
1.0%
1.043332711
1.0%

mean_acc_on_paper1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1836384366
Minimum0.104892312
Maximum0.627350024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:53.951372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.104892312
5-th percentile0.119659862
Q10.1482726492
median0.1675740495
Q30.196265803
95-th percentile0.3156476659
Maximum0.627350024
Range0.522457712
Interquartile range (IQR)0.04799315375

Descriptive statistics

Standard deviation0.06803511048
Coefficient of variation (CV)0.3704840432
Kurtosis17.3783159
Mean0.1836384366
Median Absolute Deviation (MAD)0.021569612
Skewness3.381543329
Sum19.09839741
Variance0.004628776258
MonotonicityNot monotonic
2025-11-14T18:31:54.083265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2141476241
 
1.0%
0.1253183471
 
1.0%
0.1539321261
 
1.0%
0.1606470981
 
1.0%
0.1829065951
 
1.0%
0.1161109421
 
1.0%
0.2279187641
 
1.0%
0.1451043061
 
1.0%
0.1725711591
 
1.0%
0.2076123651
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.1048923121
1.0%
0.1069930361
1.0%
0.1161109421
1.0%
0.1177203591
1.0%
0.1180685961
1.0%
ValueCountFrequency (%)
0.6273500241
1.0%
0.346609281
1.0%
0.3458301631
1.0%
0.3399690971
1.0%
0.3392863661
1.0%

mean_gmrt1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.1914131
Minimum62.04083909
Maximum836.7847016
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:54.179826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum62.04083909
5-th percentile98.63240619
Q1160.4764697
median224.5361201
Q3298.9545387
95-th percentile550.1196342
Maximum836.7847016
Range774.7438625
Interquartile range (IQR)138.478069

Descriptive statistics

Standard deviation144.1963425
Coefficient of variation (CV)0.5695151379
Kurtosis3.974452953
Mean253.1914131
Median Absolute Deviation (MAD)68.6131725
Skewness1.789509497
Sum26331.90696
Variance20792.5852
MonotonicityNot monotonic
2025-11-14T18:31:54.314157image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272.72614861
 
1.0%
166.54858241
 
1.0%
294.30929721
 
1.0%
116.7237281
 
1.0%
474.37480571
 
1.0%
123.36659041
 
1.0%
262.68813451
 
1.0%
184.636511
 
1.0%
230.83498731
 
1.0%
254.1484421
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
62.040839091
1.0%
68.821095581
1.0%
75.127968881
1.0%
91.314453081
1.0%
96.886147311
1.0%
ValueCountFrequency (%)
836.78470161
1.0%
745.90983091
1.0%
716.82881621
1.0%
668.59025931
1.0%
577.17695881
1.0%

mean_jerk_in_air1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06840801624
Minimum0.016190354
Maximum0.543198712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:54.414136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.016190354
5-th percentile0.0246525405
Q10.02974756775
median0.0412565385
Q30.0726493075
95-th percentile0.1843478913
Maximum0.543198712
Range0.527008358
Interquartile range (IQR)0.04290173975

Descriptive statistics

Standard deviation0.07545516971
Coefficient of variation (CV)1.103016486
Kurtosis20.31849234
Mean0.06840801624
Median Absolute Deviation (MAD)0.0149702355
Skewness4.018154252
Sum7.114433689
Variance0.005693482637
MonotonicityNot monotonic
2025-11-14T18:31:54.511818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0408339021
 
1.0%
0.0318593341
 
1.0%
0.039362311
 
1.0%
0.0708574491
 
1.0%
0.0643227251
 
1.0%
0.0327684991
 
1.0%
0.0446120721
 
1.0%
0.0375282361
 
1.0%
0.2207312921
 
1.0%
0.0253383541
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0161903541
1.0%
0.0230570221
1.0%
0.0241933191
1.0%
0.024382171
1.0%
0.024391121
1.0%
ValueCountFrequency (%)
0.5431987121
1.0%
0.4478047181
1.0%
0.234313511
1.0%
0.2207312921
1.0%
0.1908161021
1.0%

mean_jerk_on_paper1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02066686159
Minimum0.014504268
Maximum0.042042776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:54.625487image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.014504268
5-th percentile0.01595116905
Q10.01825887275
median0.019560581
Q30.0215753355
95-th percentile0.02876930905
Maximum0.042042776
Range0.027538508
Interquartile range (IQR)0.00331646275

Descriptive statistics

Standard deviation0.004244654241
Coefficient of variation (CV)0.2053845584
Kurtosis6.246528491
Mean0.02066686159
Median Absolute Deviation (MAD)0.001652421
Skewness2.015548298
Sum2.149353605
Variance1.801708962 × 10-5
MonotonicityNot monotonic
2025-11-14T18:31:54.889310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0234611
 
1.0%
0.0163381031
 
1.0%
0.0203861951
 
1.0%
0.0193213381
 
1.0%
0.0209454681
 
1.0%
0.0160240881
 
1.0%
0.0265386361
 
1.0%
0.0185903011
 
1.0%
0.0209588091
 
1.0%
0.0211853241
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0145042681
1.0%
0.0146699051
1.0%
0.0155655521
1.0%
0.0156129851
1.0%
0.0158134861
1.0%
ValueCountFrequency (%)
0.0420427761
1.0%
0.0327910871
1.0%
0.0322819561
1.0%
0.0315296641
1.0%
0.0307653831
1.0%

mean_speed_in_air1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.206778371
Minimum0.766628733
Maximum15.50980753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:55.003384image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.766628733
5-th percentile1.738887767
Q12.722654306
median3.604071585
Q34.749599196
95-th percentile8.518230132
Maximum15.50980753
Range14.7431788
Interquartile range (IQR)2.02694489

Descriptive statistics

Standard deviation2.532337372
Coefficient of variation (CV)0.6019659579
Kurtosis5.600678453
Mean4.206778371
Median Absolute Deviation (MAD)1.017654241
Skewness2.090674978
Sum437.5049506
Variance6.412732564
MonotonicityNot monotonic
2025-11-14T18:31:55.089513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3887669341
 
1.0%
2.1091193141
 
1.0%
4.1945489961
 
1.0%
3.1094452381
 
1.0%
7.8985898471
 
1.0%
1.8455743751
 
1.0%
4.9264182981
 
1.0%
3.8046562411
 
1.0%
5.6841967821
 
1.0%
4.8747871841
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.7666287331
1.0%
0.8316776821
1.0%
1.0115240281
1.0%
1.4821373721
1.0%
1.4913437541
1.0%
ValueCountFrequency (%)
15.509807531
1.0%
13.227963191
1.0%
12.55569161
1.0%
11.808371691
1.0%
10.077933611
1.0%

mean_speed_on_paper1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.848687297
Minimum0.822160331
Maximum18.18707883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:55.179032image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.822160331
5-th percentile1.332706243
Q12.246988654
median3.252145772
Q34.440993546
95-th percentile8.757122465
Maximum18.18707883
Range17.3649185
Interquartile range (IQR)2.194004892

Descriptive statistics

Standard deviation2.49718005
Coefficient of variation (CV)0.6488394243
Kurtosis10.07937205
Mean3.848687297
Median Absolute Deviation (MAD)1.060379994
Skewness2.489665847
Sum400.2634789
Variance6.235908203
MonotonicityNot monotonic
2025-11-14T18:31:55.293319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7703589581
 
1.0%
3.0728102711
 
1.0%
3.25287161
 
1.0%
1.32382341
 
1.0%
5.1594622561
 
1.0%
2.0007081931
 
1.0%
4.8648330131
 
1.0%
2.1805437811
 
1.0%
3.2188348761
 
1.0%
5.323375081
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.8221603311
1.0%
0.9917449331
1.0%
1.1277755011
1.0%
1.1414169861
1.0%
1.32382341
1.0%
ValueCountFrequency (%)
18.187078831
1.0%
10.251246531
1.0%
9.8770839451
1.0%
9.4749202971
1.0%
8.9774785441
1.0%

num_of_pendown1
Real number (ℝ)

Distinct22
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.201923077
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:55.405349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q15
median8
Q311.25
95-th percentile17
Maximum54
Range53
Interquartile range (IQR)6.25

Descriptive statistics

Standard deviation6.552817237
Coefficient of variation (CV)0.7121138899
Kurtosis20.48666682
Mean9.201923077
Median Absolute Deviation (MAD)3
Skewness3.414308165
Sum957
Variance42.93941374
MonotonicityNot monotonic
2025-11-14T18:31:55.473372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
611
10.6%
510
 
9.6%
710
 
9.6%
109
 
8.7%
88
 
7.7%
96
 
5.8%
46
 
5.8%
136
 
5.8%
36
 
5.8%
116
 
5.8%
Other values (12)26
25.0%
ValueCountFrequency (%)
12
 
1.9%
24
 
3.8%
36
5.8%
46
5.8%
510
9.6%
ValueCountFrequency (%)
541
1.0%
261
1.0%
221
1.0%
211
1.0%
181
1.0%

paper_time1
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6101.971154
Minimum865
Maximum46120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:55.552097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum865
5-th percentile2165.75
Q14070
median4960
Q36756.25
95-th percentile10635.5
Maximum46120
Range45255
Interquartile range (IQR)2686.25

Descriptive statistics

Standard deviation4889.086937
Coefficient of variation (CV)0.8012307521
Kurtosis43.98019939
Mean6101.971154
Median Absolute Deviation (MAD)1165
Skewness5.721598475
Sum634605
Variance23903171.08
MonotonicityNot monotonic
2025-11-14T18:31:55.632344image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48902
 
1.9%
49552
 
1.9%
38052
 
1.9%
63702
 
1.9%
34902
 
1.9%
41302
 
1.9%
47151
 
1.0%
92551
 
1.0%
49651
 
1.0%
40801
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
8651
1.0%
13451
1.0%
17301
1.0%
18801
1.0%
20251
1.0%
ValueCountFrequency (%)
461201
1.0%
178651
1.0%
170601
1.0%
155351
1.0%
124601
1.0%

pressure_mean1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1663.879232
Minimum642.6347607
Maximum1998.48773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:55.719892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum642.6347607
5-th percentile1032.774384
Q11519.872427
median1736.073783
Q31880.926512
95-th percentile1982.681709
Maximum1998.48773
Range1355.852969
Interquartile range (IQR)361.0540858

Descriptive statistics

Standard deviation297.3929528
Coefficient of variation (CV)0.1787346985
Kurtosis1.826228501
Mean1663.879232
Median Absolute Deviation (MAD)160.71965
Skewness-1.385246922
Sum173043.4401
Variance88442.56836
MonotonicityNot monotonic
2025-11-14T18:31:55.828213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1518.7298391
 
1.0%
1784.383591
 
1.0%
1811.5378411
 
1.0%
1115.2647221
 
1.0%
1469.4349541
 
1.0%
1931.0855611
 
1.0%
1491.6465261
 
1.0%
1819.1213241
 
1.0%
1751.7878341
 
1.0%
1898.4335111
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
642.63476071
1.0%
777.84745761
1.0%
803.54081631
1.0%
807.44364941
1.0%
946.45771141
1.0%
ValueCountFrequency (%)
1998.487731
1.0%
1997.1464441
1.0%
1993.0705241
1.0%
1993.0701281
1.0%
1985.5180381
1.0%

pressure_var1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127260.3006
Minimum25886.97364
Maximum288285.0449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:55.926495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25886.97364
5-th percentile48780.37485
Q186473.08372
median128352.8748
Q3165756.0568
95-th percentile208413.7562
Maximum288285.0449
Range262398.0713
Interquartile range (IQR)79282.97306

Descriptive statistics

Standard deviation52474.75455
Coefficient of variation (CV)0.4123419031
Kurtosis-0.2567449161
Mean127260.3006
Median Absolute Deviation (MAD)39154.2157
Skewness0.2082251767
Sum13235071.26
Variance2753599865
MonotonicityNot monotonic
2025-11-14T18:31:56.025706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157685.03721
 
1.0%
116210.42111
 
1.0%
165566.62391
 
1.0%
115329.02231
 
1.0%
129035.48891
 
1.0%
132549.63041
 
1.0%
166324.35541
 
1.0%
160061.81981
 
1.0%
180295.01581
 
1.0%
87124.144521
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
25886.973641
1.0%
35184.689851
1.0%
38063.305061
1.0%
41693.332491
1.0%
47840.327921
1.0%
ValueCountFrequency (%)
288285.04491
1.0%
250511.50321
1.0%
226618.15241
1.0%
220424.2761
1.0%
219796.16451
1.0%

total_time1
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11728.06731
Minimum2490
Maximum156085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:56.121894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2490
5-th percentile4183.25
Q15835
median8462.5
Q312100
95-th percentile26690
Maximum156085
Range153595
Interquartile range (IQR)6265

Descriptive statistics

Standard deviation16560.48606
Coefficient of variation (CV)1.412038797
Kurtosis57.62693076
Mean11728.06731
Median Absolute Deviation (MAD)2887.5
Skewness6.987224338
Sum1219719
Variance274249698.5
MonotonicityNot monotonic
2025-11-14T18:31:56.251479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
123001
 
1.0%
68801
 
1.0%
57901
 
1.0%
222351
 
1.0%
47051
 
1.0%
109701
 
1.0%
84551
 
1.0%
63901
 
1.0%
145601
 
1.0%
25701
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
24901
1.0%
25701
1.0%
28551
1.0%
30601
1.0%
38101
1.0%
ValueCountFrequency (%)
1560851
1.0%
644401
1.0%
421351
1.0%
396651
1.0%
300201
1.0%

air_time2
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8409.221154
Minimum375
Maximum96485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:56.340253image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum375
5-th percentile561.5
Q11372.5
median4202.5
Q310598.75
95-th percentile23586.25
Maximum96485
Range96110
Interquartile range (IQR)9226.25

Descriptive statistics

Standard deviation12641.11817
Coefficient of variation (CV)1.503244823
Kurtosis24.31558123
Mean8409.221154
Median Absolute Deviation (MAD)3270
Skewness4.199480051
Sum874559
Variance159797868.5
MonotonicityNot monotonic
2025-11-14T18:31:56.446985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6852
 
1.9%
103802
 
1.9%
14352
 
1.9%
7952
 
1.9%
70201
 
1.0%
320051
 
1.0%
38651
 
1.0%
20251
 
1.0%
109651
 
1.0%
42251
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
3751
1.0%
3801
1.0%
4201
1.0%
4801
1.0%
5501
1.0%
ValueCountFrequency (%)
964851
1.0%
587801
1.0%
349051
1.0%
320051
1.0%
277451
1.0%

disp_index2
Real number (ℝ)

Distinct82
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.152653846 × 10-5
Minimum4.58 × 10-6
Maximum1.99 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:56.559017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.58 × 10-6
5-th percentile6.6775 × 10-6
Q19.0275 × 10-6
median1.18 × 10-5
Q31.37 × 10-5
95-th percentile1.685 × 10-5
Maximum1.99 × 10-5
Range1.532 × 10-5
Interquartile range (IQR)4.6725 × 10-6

Descriptive statistics

Standard deviation3.203401338 × 10-6
Coefficient of variation (CV)0.2779152951
Kurtosis-0.4002724941
Mean1.152653846 × 10-5
Median Absolute Deviation (MAD)2.235 × 10-6
Skewness0
Sum0.00119876
Variance1.026178013 × 10-11
MonotonicityNot monotonic
2025-11-14T18:31:56.651468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.4 × 10-53
 
2.9%
1.18 × 10-53
 
2.9%
1.24 × 10-53
 
2.9%
1.19 × 10-53
 
2.9%
1.49 × 10-52
 
1.9%
1.33 × 10-52
 
1.9%
1.3 × 10-52
 
1.9%
1.54 × 10-52
 
1.9%
1.05 × 10-52
 
1.9%
1.7 × 10-52
 
1.9%
Other values (72)80
76.9%
ValueCountFrequency (%)
4.58 × 10-61
1.0%
5.93 × 10-61
1.0%
6.04 × 10-61
1.0%
6.39 × 10-61
1.0%
6.56 × 10-61
1.0%
ValueCountFrequency (%)
1.99 × 10-51
1.0%
1.91 × 10-51
1.0%
1.86 × 10-51
1.0%
1.73 × 10-51
1.0%
1.7 × 10-52
1.9%

gmrt_in_air2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.6766202
Minimum25.36259842
Maximum511.1881129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:56.869454image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25.36259842
5-th percentile46.69006107
Q194.7194748
median159.098519
Q3264.1549778
95-th percentile343.5220008
Maximum511.1881129
Range485.8255145
Interquartile range (IQR)169.435503

Descriptive statistics

Standard deviation107.8669488
Coefficient of variation (CV)0.5970166404
Kurtosis-0.4923420706
Mean180.6766202
Median Absolute Deviation (MAD)91.02662772
Skewness0.5434143657
Sum18790.3685
Variance11635.27864
MonotonicityNot monotonic
2025-11-14T18:31:56.956404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
215.6273771
 
1.0%
271.865521
 
1.0%
66.551142261
 
1.0%
256.60780021
 
1.0%
265.57850081
 
1.0%
85.61305291
 
1.0%
295.77906971
 
1.0%
112.61968521
 
1.0%
221.75183351
 
1.0%
339.828481
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
25.362598421
1.0%
37.254785061
1.0%
41.207179371
1.0%
41.998430271
1.0%
42.571024121
1.0%
ValueCountFrequency (%)
511.18811291
1.0%
406.19540851
1.0%
404.25115421
1.0%
390.62816291
1.0%
389.39561811
1.0%

gmrt_on_paper2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.19511862
Minimum18.94958627
Maximum263.3014822
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:57.039739image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum18.94958627
5-th percentile35.80896014
Q161.79286317
median79.68286509
Q3109.382257
95-th percentile168.4956
Maximum263.3014822
Range244.3518959
Interquartile range (IQR)47.5893938

Descriptive statistics

Standard deviation44.89101263
Coefficient of variation (CV)0.5032900155
Kurtosis2.667689146
Mean89.19511862
Median Absolute Deviation (MAD)25.20513842
Skewness1.306816255
Sum9276.292337
Variance2015.203015
MonotonicityNot monotonic
2025-11-14T18:31:57.133573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64.480931311
 
1.0%
62.017229481
 
1.0%
163.73698661
 
1.0%
85.22307711
 
1.0%
102.0464021
 
1.0%
54.63437431
 
1.0%
76.346706871
 
1.0%
63.490164341
 
1.0%
87.798243471
 
1.0%
35.502681811
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
18.949586271
1.0%
20.827015081
1.0%
23.555868571
1.0%
24.186018541
1.0%
27.10791461
1.0%
ValueCountFrequency (%)
263.30148221
1.0%
255.24897511
1.0%
190.24602871
1.0%
177.82138471
1.0%
172.07622361
1.0%

max_x_extension2
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean865.9423077
Minimum108
Maximum6806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:57.219208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum108
5-th percentile197.45
Q1341.25
median635
Q3924.25
95-th percentile2474.5
Maximum6806
Range6698
Interquartile range (IQR)583

Descriptive statistics

Standard deviation958.1959974
Coefficient of variation (CV)1.106535607
Kurtosis17.07453441
Mean865.9423077
Median Absolute Deviation (MAD)291
Skewness3.652447045
Sum90058
Variance918139.5695
MonotonicityNot monotonic
2025-11-14T18:31:57.311401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8912
 
1.9%
6892
 
1.9%
2132
 
1.9%
6292
 
1.9%
5242
 
1.9%
9051
 
1.0%
35021
 
1.0%
6411
 
1.0%
24911
 
1.0%
3851
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
1081
1.0%
1281
1.0%
1721
1.0%
1801
1.0%
1831
1.0%
ValueCountFrequency (%)
68061
1.0%
49801
1.0%
35021
1.0%
32361
1.0%
28691
1.0%

max_y_extension2
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5061.923077
Minimum2650
Maximum13250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:57.407007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2650
5-th percentile4491.05
Q14680.5
median4905.5
Q35163
95-th percentile5752.95
Maximum13250
Range10600
Interquartile range (IQR)482.5

Descriptive statistics

Standard deviation1002.667091
Coefficient of variation (CV)0.1980802702
Kurtosis44.28151843
Mean5061.923077
Median Absolute Deviation (MAD)250
Skewness5.691569543
Sum526440
Variance1005341.295
MonotonicityNot monotonic
2025-11-14T18:31:57.507341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49132
 
1.9%
45912
 
1.9%
50511
 
1.0%
49051
 
1.0%
53291
 
1.0%
54071
 
1.0%
48751
 
1.0%
50461
 
1.0%
45971
 
1.0%
47481
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
26501
1.0%
44131
1.0%
44391
1.0%
44461
1.0%
44761
1.0%
ValueCountFrequency (%)
132501
1.0%
79721
1.0%
73731
1.0%
71721
1.0%
59961
1.0%

mean_acc_in_air2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.397667398
Minimum0.081255433
Maximum1.548553061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:57.594830image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.081255433
5-th percentile0.1397365297
Q10.20451437
median0.2990713255
Q30.477864372
95-th percentile0.8905415254
Maximum1.548553061
Range1.467297628
Interquartile range (IQR)0.273350002

Descriptive statistics

Standard deviation0.2820731091
Coefficient of variation (CV)0.709319171
Kurtosis3.799534393
Mean0.397667398
Median Absolute Deviation (MAD)0.1237197295
Skewness1.840589338
Sum41.35740939
Variance0.07956523887
MonotonicityNot monotonic
2025-11-14T18:31:57.686236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2287218041
 
1.0%
0.8322520121
 
1.0%
0.1399905081
 
1.0%
1.0538683561
 
1.0%
0.1694377291
 
1.0%
0.436359361
 
1.0%
0.6995373631
 
1.0%
0.434236511
 
1.0%
0.8127217871
 
1.0%
1.4066533761
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0812554331
1.0%
0.1076934331
1.0%
0.1114883581
1.0%
0.1191104631
1.0%
0.1329113651
1.0%
ValueCountFrequency (%)
1.5485530611
1.0%
1.4066533761
1.0%
1.2964044681
1.0%
1.0538683561
1.0%
1.0433957151
1.0%

mean_acc_on_paper2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08454342469
Minimum0.03161407
Maximum0.195597607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:57.779829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.03161407
5-th percentile0.05173297795
Q10.0632008635
median0.074939971
Q30.1022787108
95-th percentile0.1485980039
Maximum0.195597607
Range0.163983537
Interquartile range (IQR)0.03907784725

Descriptive statistics

Standard deviation0.03196640972
Coefficient of variation (CV)0.3781063973
Kurtosis1.453070822
Mean0.08454342469
Median Absolute Deviation (MAD)0.0158088905
Skewness1.262682747
Sum8.792516168
Variance0.001021851351
MonotonicityNot monotonic
2025-11-14T18:31:57.874763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1363395531
 
1.0%
0.136355141
 
1.0%
0.0636318731
 
1.0%
0.1018771871
 
1.0%
0.0548101621
 
1.0%
0.0674439361
 
1.0%
0.0632566181
 
1.0%
0.0811013521
 
1.0%
0.1249544791
 
1.0%
0.0453910391
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.031614071
1.0%
0.0420285551
1.0%
0.0426034451
1.0%
0.0452979711
1.0%
0.0453910391
1.0%
ValueCountFrequency (%)
0.1955976071
1.0%
0.1802538791
1.0%
0.1705500891
1.0%
0.1658830211
1.0%
0.1497397271
1.0%

mean_gmrt2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.9358694
Minimum42.12229045
Maximum301.713254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:57.969459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum42.12229045
5-th percentile53.78582023
Q186.60573113
median130.591096
Q3179.1761342
95-th percentile243.784706
Maximum301.713254
Range259.5909636
Interquartile range (IQR)92.57040312

Descriptive statistics

Standard deviation60.21255518
Coefficient of variation (CV)0.4462309054
Kurtosis-0.6078890791
Mean134.9358694
Median Absolute Deviation (MAD)44.87265166
Skewness0.4919353742
Sum14033.33042
Variance3625.551801
MonotonicityNot monotonic
2025-11-14T18:31:58.068506image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140.05415421
 
1.0%
166.94137471
 
1.0%
115.14406441
 
1.0%
170.91543861
 
1.0%
183.81245141
 
1.0%
70.12371361
 
1.0%
186.06288831
 
1.0%
88.054924761
 
1.0%
154.77503851
 
1.0%
187.66558091
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
42.122290451
1.0%
44.698796771
1.0%
47.517079281
1.0%
47.758345141
1.0%
53.156792171
1.0%
ValueCountFrequency (%)
301.7132541
1.0%
266.829141
1.0%
248.32193121
1.0%
246.93824611
1.0%
245.34285611
1.0%

mean_jerk_in_air2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06541885577
Minimum0.010971155
Maximum0.292048889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:58.164834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.010971155
5-th percentile0.0201672337
Q10.02553021625
median0.046711545
Q30.080119352
95-th percentile0.1578933811
Maximum0.292048889
Range0.281077734
Interquartile range (IQR)0.05458913575

Descriptive statistics

Standard deviation0.05551935874
Coefficient of variation (CV)0.8486751731
Kurtosis3.915523724
Mean0.06541885577
Median Absolute Deviation (MAD)0.0234945995
Skewness1.886129383
Sum6.803561
Variance0.003082399195
MonotonicityNot monotonic
2025-11-14T18:31:58.260266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0360598371
 
1.0%
0.153118271
 
1.0%
0.0212320321
 
1.0%
0.1944133911
 
1.0%
0.02176331
 
1.0%
0.0720987351
 
1.0%
0.1233556061
 
1.0%
0.0677525131
 
1.0%
0.15260791
 
1.0%
0.2667943461
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0109711551
1.0%
0.0166604691
1.0%
0.0174696541
1.0%
0.0180464031
1.0%
0.0183545911
1.0%
ValueCountFrequency (%)
0.2920488891
1.0%
0.2667943461
1.0%
0.2424260471
1.0%
0.1983260941
1.0%
0.1944133911
1.0%

mean_jerk_on_paper2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01003768307
Minimum0.004713967
Maximum0.030031762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:58.357575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.004713967
5-th percentile0.0064414629
Q10.00829224675
median0.0095433205
Q30.0113746125
95-th percentile0.01399034785
Maximum0.030031762
Range0.025317795
Interquartile range (IQR)0.00308236575

Descriptive statistics

Standard deviation0.003041438541
Coefficient of variation (CV)0.3030020494
Kurtosis17.26240821
Mean0.01003768307
Median Absolute Deviation (MAD)0.001445626
Skewness2.964929748
Sum1.043919039
Variance9.250348398 × 10-6
MonotonicityNot monotonic
2025-11-14T18:31:58.459036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0126233671
 
1.0%
0.0134280281
 
1.0%
0.0105962591
 
1.0%
0.0128923281
 
1.0%
0.0079237211
 
1.0%
0.0071766261
 
1.0%
0.0103177431
 
1.0%
0.0099443791
 
1.0%
0.0136361941
 
1.0%
0.0055585741
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0047139671
1.0%
0.0055585741
1.0%
0.0057011691
1.0%
0.006329021
1.0%
0.0063576611
1.0%
ValueCountFrequency (%)
0.0300317621
1.0%
0.0174515551
1.0%
0.0157740941
1.0%
0.0149352421
1.0%
0.0141691091
1.0%

mean_speed_in_air2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.614128054
Minimum0.353844199
Maximum7.203297084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:58.553906image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.353844199
5-th percentile0.795415436
Q11.400495846
median2.229718403
Q33.383274198
95-th percentile5.175307832
Maximum7.203297084
Range6.849452885
Interquartile range (IQR)1.982778352

Descriptive statistics

Standard deviation1.477131219
Coefficient of variation (CV)0.5650569479
Kurtosis0.3442075091
Mean2.614128054
Median Absolute Deviation (MAD)0.948066366
Skewness0.870623358
Sum271.8693176
Variance2.181916639
MonotonicityNot monotonic
2025-11-14T18:31:58.656667image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6988666451
 
1.0%
4.0473642071
 
1.0%
0.9216532381
 
1.0%
4.7142414861
 
1.0%
4.7713796351
 
1.0%
2.2156363121
 
1.0%
4.3379598661
 
1.0%
2.8792259491
 
1.0%
3.0869127971
 
1.0%
5.994861771
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.3538441991
1.0%
0.5813036561
1.0%
0.6600565691
1.0%
0.7453921021
1.0%
0.7630160741
1.0%
ValueCountFrequency (%)
7.2032970841
1.0%
6.8137454021
1.0%
6.0153311371
1.0%
5.994861771
1.0%
5.4889760661
1.0%

mean_speed_on_paper2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.583932572
Minimum0.277661991
Maximum5.189265934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:58.886189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.277661991
5-th percentile0.5331503298
Q10.9676906683
median1.426281436
Q32.026546143
95-th percentile3.027039859
Maximum5.189265934
Range4.911603943
Interquartile range (IQR)1.058855475

Descriptive statistics

Standard deviation0.8486670835
Coefficient of variation (CV)0.5357974817
Kurtosis4.095332076
Mean1.583932572
Median Absolute Deviation (MAD)0.516064562
Skewness1.567733175
Sum164.7289875
Variance0.7202358186
MonotonicityNot monotonic
2025-11-14T18:31:58.987028image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7951248621
 
1.0%
0.7589988911
 
1.0%
3.2510009661
 
1.0%
0.9583404881
 
1.0%
2.0281435761
 
1.0%
1.0919553491
 
1.0%
1.4060495011
 
1.0%
1.2724114061
 
1.0%
1.0190848451
 
1.0%
0.709551621
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.2776619911
1.0%
0.3788554991
1.0%
0.4206447271
1.0%
0.4748987121
1.0%
0.5012683111
1.0%
ValueCountFrequency (%)
5.1892659341
1.0%
4.9349086021
1.0%
3.5201797661
1.0%
3.340701181
1.0%
3.2510009661
1.0%

num_of_pendown2
Real number (ℝ)

Distinct16
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.990384615
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:59.055060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q35
95-th percentile10.85
Maximum36
Range35
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.785689007
Coefficient of variation (CV)1.199305197
Kurtosis20.35232627
Mean3.990384615
Median Absolute Deviation (MAD)1
Skewness3.807436904
Sum415
Variance22.90281927
MonotonicityNot monotonic
2025-11-14T18:31:59.114941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
139
37.5%
215
 
14.4%
412
 
11.5%
512
 
11.5%
65
 
4.8%
75
 
4.8%
35
 
4.8%
93
 
2.9%
81
 
1.0%
201
 
1.0%
Other values (6)6
 
5.8%
ValueCountFrequency (%)
139
37.5%
215
 
14.4%
35
 
4.8%
412
 
11.5%
512
 
11.5%
ValueCountFrequency (%)
361
1.0%
201
1.0%
191
1.0%
151
1.0%
121
1.0%

paper_time2
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10324.13462
Minimum2365
Maximum44840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:59.187972image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2365
5-th percentile3580.5
Q15907.5
median8447.5
Q312500
95-th percentile23958
Maximum44840
Range42475
Interquartile range (IQR)6592.5

Descriptive statistics

Standard deviation7016.442147
Coefficient of variation (CV)0.6796155231
Kurtosis8.854611413
Mean10324.13462
Median Absolute Deviation (MAD)3037.5
Skewness2.554382788
Sum1073710
Variance49230460.41
MonotonicityNot monotonic
2025-11-14T18:31:59.287369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61102
 
1.9%
133552
 
1.9%
126052
 
1.9%
44902
 
1.9%
31251
 
1.0%
116601
 
1.0%
108751
 
1.0%
32401
 
1.0%
104551
 
1.0%
84351
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
23651
1.0%
30601
1.0%
31251
1.0%
32401
1.0%
34751
1.0%
ValueCountFrequency (%)
448401
1.0%
422001
1.0%
294001
1.0%
258001
1.0%
250851
1.0%

pressure_mean2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1746.616982
Minimum808.3445158
Maximum2037.61204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:59.371632image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum808.3445158
5-th percentile989.2004213
Q11632.626396
median1890.519954
Q31984.402861
95-th percentile2030.598874
Maximum2037.61204
Range1229.267524
Interquartile range (IQR)351.7764648

Descriptive statistics

Standard deviation330.4085767
Coefficient of variation (CV)0.1891705967
Kurtosis0.5646557412
Mean1746.616982
Median Absolute Deviation (MAD)125.521053
Skewness-1.315075723
Sum181648.1661
Variance109169.8276
MonotonicityNot monotonic
2025-11-14T18:31:59.465263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1623.8870761
 
1.0%
1873.5752491
 
1.0%
1953.751
 
1.0%
1501.2106311
 
1.0%
2027.0474631
 
1.0%
2035.8675271
 
1.0%
1897.231181
 
1.0%
1902.6528531
 
1.0%
1682.2638281
 
1.0%
2033.785331
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
808.34451581
1.0%
914.78542141
1.0%
953.1477971
1.0%
963.10784311
1.0%
974.29551821
1.0%
ValueCountFrequency (%)
2037.612041
1.0%
2035.8675271
1.0%
2034.1805491
1.0%
2033.785331
1.0%
2031.5152881
1.0%

pressure_var2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105283.9345
Minimum9083.432871
Maximum304781.3003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:59.552687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9083.432871
5-th percentile17116.10779
Q150109.78761
median93507.88832
Q3143026.3524
95-th percentile236929.2321
Maximum304781.3003
Range295697.8674
Interquartile range (IQR)92916.56479

Descriptive statistics

Standard deviation69201.84575
Coefficient of variation (CV)0.6572878009
Kurtosis-0.03827426997
Mean105283.9345
Median Absolute Deviation (MAD)46814.48347
Skewness0.7005238761
Sum10949529.18
Variance4788895455
MonotonicityNot monotonic
2025-11-14T18:31:59.640269image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108375.97291
 
1.0%
163973.08191
 
1.0%
102718.14431
 
1.0%
160153.20951
 
1.0%
22258.704781
 
1.0%
13498.712721
 
1.0%
152896.95661
 
1.0%
92904.059671
 
1.0%
166062.46381
 
1.0%
14039.176361
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
9083.4328711
1.0%
9722.2959751
1.0%
13498.712721
1.0%
14039.176361
1.0%
15324.028191
1.0%
ValueCountFrequency (%)
304781.30031
1.0%
292883.30431
1.0%
253828.80461
1.0%
252933.90751
1.0%
243248.21651
1.0%

total_time2
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18733.35577
Minimum2785
Maximum138685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:59.734282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2785
5-th percentile4749.75
Q18084.25
median12765
Q323585
95-th percentile44267.25
Maximum138685
Range135900
Interquartile range (IQR)15500.75

Descriptive statistics

Standard deviation18503.42265
Coefficient of variation (CV)0.9877260047
Kurtosis20.20266044
Mean18733.35577
Median Absolute Deviation (MAD)5255
Skewness3.833283037
Sum1948269
Variance342376649.7
MonotonicityNot monotonic
2025-11-14T18:31:59.831848image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
223401
 
1.0%
301201
 
1.0%
36151
 
1.0%
446101
 
1.0%
99751
 
1.0%
124801
 
1.0%
194001
 
1.0%
125501
 
1.0%
282401
 
1.0%
296951
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
27851
1.0%
36151
1.0%
39751
1.0%
40451
1.0%
44451
1.0%
ValueCountFrequency (%)
1386851
1.0%
1036201
1.0%
607051
1.0%
453651
1.0%
446951
1.0%

air_time3
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4223.942308
Minimum275
Maximum30145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:31:59.916890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum275
5-th percentile361
Q1685
median2495
Q35980
95-th percentile14048
Maximum30145
Range29870
Interquartile range (IQR)5295

Descriptive statistics

Standard deviation4949.039559
Coefficient of variation (CV)1.171663626
Kurtosis7.341024033
Mean4223.942308
Median Absolute Deviation (MAD)1930
Skewness2.300107455
Sum439290
Variance24492992.56
MonotonicityNot monotonic
2025-11-14T18:32:00.006770image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43552
 
1.9%
6602
 
1.9%
6852
 
1.9%
16302
 
1.9%
5652
 
1.9%
2901
 
1.0%
41001
 
1.0%
13401
 
1.0%
87851
 
1.0%
7451
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
2751
1.0%
2901
1.0%
3301
1.0%
3351
1.0%
3401
1.0%
ValueCountFrequency (%)
301451
1.0%
195551
1.0%
168251
1.0%
159401
1.0%
158851
1.0%

disp_index3
Real number (ℝ)

Distinct77
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.012002885 × 10-5
Minimum0
Maximum1.93 × 10-5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:00.223259image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.869 × 10-6
Q18.49 × 10-6
median1.02 × 10-5
Q31.2025 × 10-5
95-th percentile1.507 × 10-5
Maximum1.93 × 10-5
Range1.93 × 10-5
Interquartile range (IQR)3.535 × 10-6

Descriptive statistics

Standard deviation3.172843735 × 10-6
Coefficient of variation (CV)0.3135212146
Kurtosis1.043988822
Mean1.012002885 × 10-5
Median Absolute Deviation (MAD)1.8 × 10-6
Skewness0
Sum0.001052483
Variance1.006693737 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:00.316936image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.18 × 10-54
 
3.8%
1.22 × 10-53
 
2.9%
1.34 × 10-53
 
2.9%
1.11 × 10-53
 
2.9%
1.01 × 10-53
 
2.9%
9.76 × 10-63
 
2.9%
1.1 × 10-53
 
2.9%
1.31 × 10-52
 
1.9%
1.09 × 10-52
 
1.9%
1.36 × 10-52
 
1.9%
Other values (67)76
73.1%
ValueCountFrequency (%)
01
1.0%
6.13 × 10-71
1.0%
3.69 × 10-61
1.0%
4.07 × 10-61
1.0%
4.27 × 10-61
1.0%
ValueCountFrequency (%)
1.93 × 10-51
1.0%
1.67 × 10-51
1.0%
1.55 × 10-51
1.0%
1.52 × 10-52
1.9%
1.51 × 10-51
1.0%

gmrt_in_air3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.5659992
Minimum28.83201392
Maximum810.6672393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:00.406314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum28.83201392
5-th percentile41.74358264
Q193.25866999
median180.0597034
Q3295.3919747
95-th percentile515.5727452
Maximum810.6672393
Range781.8352254
Interquartile range (IQR)202.1333047

Descriptive statistics

Standard deviation155.7271838
Coefficient of variation (CV)0.7224106973
Kurtosis1.46002551
Mean215.5659992
Median Absolute Deviation (MAD)101.0301987
Skewness1.165418501
Sum22418.86391
Variance24250.95577
MonotonicityNot monotonic
2025-11-14T18:32:00.512542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185.77199651
 
1.0%
248.34927611
 
1.0%
121.20425221
 
1.0%
287.73317571
 
1.0%
31.49063721
 
1.0%
269.43384341
 
1.0%
170.03499591
 
1.0%
214.95813491
 
1.0%
309.59004291
 
1.0%
310.47865181
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
28.832013921
1.0%
30.13495451
1.0%
31.49063721
1.0%
34.86000211
1.0%
36.819903891
1.0%
ValueCountFrequency (%)
810.66723931
1.0%
652.11815151
1.0%
603.76771751
1.0%
541.49171771
1.0%
516.65260451
1.0%

gmrt_on_paper3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.4439119
Minimum0
Maximum360.2255701
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:00.644494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48.37527793
Q181.88179141
median113.7716781
Q3154.1571144
95-th percentile252.3306246
Maximum360.2255701
Range360.2255701
Interquartile range (IQR)72.27532304

Descriptive statistics

Standard deviation63.85682924
Coefficient of variation (CV)0.5010582952
Kurtosis1.810255443
Mean127.4439119
Median Absolute Deviation (MAD)36.92042691
Skewness1.106037159
Sum13254.16684
Variance4077.694641
MonotonicityNot monotonic
2025-11-14T18:32:00.737769image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47.848506121
 
1.0%
84.360856551
 
1.0%
25.956773891
 
1.0%
137.21084821
 
1.0%
145.29685071
 
1.0%
74.471451131
 
1.0%
132.83486571
 
1.0%
70.517184791
 
1.0%
121.61716711
 
1.0%
71.976765511
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
25.956773891
1.0%
37.449304831
1.0%
43.377313871
1.0%
43.433263161
1.0%
ValueCountFrequency (%)
360.22557011
1.0%
344.23434981
1.0%
267.14759671
1.0%
265.92258191
1.0%
263.05212171
1.0%

max_x_extension3
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4301.865385
Minimum0
Maximum6706
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:00.985172image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3893.3
Q14172.75
median4336
Q34550
95-th percentile5000.7
Maximum6706
Range6706
Interquartile range (IQR)377.25

Descriptive statistics

Standard deviation812.9777467
Coefficient of variation (CV)0.1889826096
Kurtosis16.31444889
Mean4301.865385
Median Absolute Deviation (MAD)195
Skewness-3.005165076
Sum447394
Variance660932.8167
MonotonicityNot monotonic
2025-11-14T18:32:01.072803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45312
 
1.9%
43712
 
1.9%
42392
 
1.9%
41751
 
1.0%
44981
 
1.0%
38931
 
1.0%
43621
 
1.0%
49091
 
1.0%
46001
 
1.0%
40761
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
01
1.0%
2391
1.0%
7871
1.0%
36551
1.0%
36621
1.0%
ValueCountFrequency (%)
67061
1.0%
63471
1.0%
53701
1.0%
53501
1.0%
52701
1.0%

max_y_extension3
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean698.1730769
Minimum0
Maximum3125
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:01.156215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile127
Q1251.75
median574
Q3824.5
95-th percentile2361.7
Maximum3125
Range3125
Interquartile range (IQR)572.75

Descriptive statistics

Standard deviation640.1173352
Coefficient of variation (CV)0.9168462038
Kurtosis3.925476838
Mean698.1730769
Median Absolute Deviation (MAD)310
Skewness1.97184847
Sum72610
Variance409750.2028
MonotonicityNot monotonic
2025-11-14T18:32:01.245261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1273
 
2.9%
1472
 
1.9%
6112
 
1.9%
7862
 
1.9%
7642
 
1.9%
2262
 
1.9%
6042
 
1.9%
4011
 
1.0%
1321
 
1.0%
3841
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
01
 
1.0%
841
 
1.0%
1211
 
1.0%
1231
 
1.0%
1273
2.9%
ValueCountFrequency (%)
31251
1.0%
29201
1.0%
25961
1.0%
25191
1.0%
24981
1.0%

mean_acc_in_air3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3858874205
Minimum0.095334241
Maximum2.723624228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:01.343060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.095334241
5-th percentile0.1546904095
Q10.1910117613
median0.242692597
Q30.4089756165
95-th percentile1.020506325
Maximum2.723624228
Range2.628289987
Interquartile range (IQR)0.2179638553

Descriptive statistics

Standard deviation0.3729644525
Coefficient of variation (CV)0.9665110411
Kurtosis16.91708233
Mean0.3858874205
Median Absolute Deviation (MAD)0.0716908315
Skewness3.550450522
Sum40.13229173
Variance0.1391024828
MonotonicityNot monotonic
2025-11-14T18:32:01.458166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1894542631
 
1.0%
0.3890367271
 
1.0%
0.3539408921
 
1.0%
0.5611975891
 
1.0%
0.1904297561
 
1.0%
0.2194184711
 
1.0%
0.2244196641
 
1.0%
0.2339399871
 
1.0%
0.6450143661
 
1.0%
0.9911767481
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0953342411
1.0%
0.1269605791
1.0%
0.1370943331
1.0%
0.1439821811
1.0%
0.1468673451
1.0%
ValueCountFrequency (%)
2.7236242281
1.0%
1.9650479391
1.0%
1.1231946741
1.0%
1.0896930251
1.0%
1.0597751731
1.0%

mean_acc_on_paper3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1084654809
Minimum0
Maximum0.263183081
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:01.549752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06551917
Q10.080409176
median0.1022995675
Q30.1307524355
95-th percentile0.1787677336
Maximum0.263183081
Range0.263183081
Interquartile range (IQR)0.0503432595

Descriptive statistics

Standard deviation0.03911818195
Coefficient of variation (CV)0.3606509795
Kurtosis1.927420565
Mean0.1084654809
Median Absolute Deviation (MAD)0.022027304
Skewness0.9565548426
Sum11.28041002
Variance0.001530232159
MonotonicityNot monotonic
2025-11-14T18:32:01.637381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.112699891
 
1.0%
0.1439793441
 
1.0%
0.1525952671
 
1.0%
0.110756271
 
1.0%
0.0848949711
 
1.0%
0.1187784351
 
1.0%
0.1106592631
 
1.0%
0.1570079181
 
1.0%
0.1573975371
 
1.0%
0.1086442191
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
0.0569069211
1.0%
0.0583231921
1.0%
0.0616422321
1.0%
0.0645640581
1.0%
ValueCountFrequency (%)
0.2631830811
1.0%
0.2165934521
1.0%
0.1900807141
1.0%
0.1828954051
1.0%
0.1807152871
1.0%

mean_gmrt3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.5049555
Minimum46.58340942
Maximum498.1762507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:01.729963image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum46.58340942
5-th percentile66.81257849
Q1102.683176
median149.707515
Q3216.340054
95-th percentile330.1946546
Maximum498.1762507
Range451.5928413
Interquartile range (IQR)113.656878

Descriptive statistics

Standard deviation88.60146033
Coefficient of variation (CV)0.5166116632
Kurtosis1.892825015
Mean171.5049555
Median Absolute Deviation (MAD)52.59888292
Skewness1.223774345
Sum17836.51538
Variance7850.218773
MonotonicityNot monotonic
2025-11-14T18:32:01.824497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116.81025131
 
1.0%
166.35506641
 
1.0%
73.580513061
 
1.0%
212.4720121
 
1.0%
88.393743941
 
1.0%
171.95264721
 
1.0%
151.43493081
 
1.0%
142.73765991
 
1.0%
215.6036051
 
1.0%
191.22770871
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
46.583409421
1.0%
53.698532751
1.0%
54.629661421
1.0%
55.252795971
1.0%
66.047752811
1.0%
ValueCountFrequency (%)
498.17625071
1.0%
482.41004681
1.0%
388.47313761
1.0%
334.28447031
1.0%
331.47502721
1.0%

mean_jerk_in_air3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06211464787
Minimum0.012231673
Maximum0.523210007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:01.924091image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.012231673
5-th percentile0.0195430608
Q10.02407940975
median0.032637658
Q30.0662746285
95-th percentile0.1837405476
Maximum0.523210007
Range0.510978334
Interquartile range (IQR)0.04219521875

Descriptive statistics

Standard deviation0.07363180895
Coefficient of variation (CV)1.185417796
Kurtosis16.96851432
Mean0.06211464787
Median Absolute Deviation (MAD)0.0112853945
Skewness3.571497085
Sum6.459923378
Variance0.005421643289
MonotonicityNot monotonic
2025-11-14T18:32:02.034105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0237917661
 
1.0%
0.0624466771
 
1.0%
0.0566804071
 
1.0%
0.0941297481
 
1.0%
0.0227814261
 
1.0%
0.0360548791
 
1.0%
0.026225551
 
1.0%
0.0290262021
 
1.0%
0.1118085831
 
1.0%
0.18446611
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0122316731
1.0%
0.0153403761
1.0%
0.0181992831
1.0%
0.0184341971
1.0%
0.0190331261
1.0%
ValueCountFrequency (%)
0.5232100071
1.0%
0.3761578161
1.0%
0.2173712131
1.0%
0.1979700071
1.0%
0.1956455971
1.0%

mean_jerk_on_paper3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01262737188
Minimum0
Maximum0.018988103
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:02.127662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00956919405
Q10.0108215975
median0.0123997495
Q30.01457629625
95-th percentile0.01727632885
Maximum0.018988103
Range0.018988103
Interquartile range (IQR)0.00375469875

Descriptive statistics

Standard deviation0.002734605509
Coefficient of variation (CV)0.2165617307
Kurtosis3.23817665
Mean0.01262737188
Median Absolute Deviation (MAD)0.0017649275
Skewness-0.4958472213
Sum1.313246676
Variance7.478067291 × 10-6
MonotonicityNot monotonic
2025-11-14T18:32:02.225779image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.009793631
 
1.0%
0.0176257591
 
1.0%
0.016485261
 
1.0%
0.0154033211
 
1.0%
0.0116860171
 
1.0%
0.0134233121
 
1.0%
0.013948371
 
1.0%
0.0151697141
 
1.0%
0.017220331
 
1.0%
0.0132676821
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
0.0087615091
1.0%
0.0088224431
1.0%
0.0090752791
1.0%
0.0093469511
1.0%
ValueCountFrequency (%)
0.0189881031
1.0%
0.018241431
1.0%
0.0176257591
1.0%
0.0175554091
1.0%
0.0173514821
1.0%

mean_speed_in_air3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.748354007
Minimum0.65447759
Maximum10.71585125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:02.330025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.65447759
5-th percentile0.7887342433
Q11.484826275
median2.203330878
Q33.568335594
95-th percentile6.608138437
Maximum10.71585125
Range10.06137366
Interquartile range (IQR)2.083509319

Descriptive statistics

Standard deviation1.795954
Coefficient of variation (CV)0.6534653088
Kurtosis3.438938647
Mean2.748354007
Median Absolute Deviation (MAD)0.963834155
Skewness1.605291696
Sum285.8288168
Variance3.225450771
MonotonicityNot monotonic
2025-11-14T18:32:02.426297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2411673781
 
1.0%
2.2854058191
 
1.0%
2.6652091141
 
1.0%
4.6378207591
 
1.0%
0.6940610141
 
1.0%
1.0732339051
 
1.0%
2.5642335521
 
1.0%
1.146908171
 
1.0%
3.6530908451
 
1.0%
5.7780240471
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.654477591
1.0%
0.6645899861
1.0%
0.6940610141
1.0%
0.704318471
1.0%
0.7722219651
1.0%
ValueCountFrequency (%)
10.715851251
1.0%
7.8551286511
1.0%
7.2092933731
1.0%
6.8712725831
1.0%
6.7180734531
1.0%

mean_speed_on_paper3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.198116229
Minimum0
Maximum7.050678725
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:02.514333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7195282146
Q11.374555582
median2.007369154
Q32.661607337
95-th percentile4.168560056
Maximum7.050678725
Range7.050678725
Interquartile range (IQR)1.287051755

Descriptive statistics

Standard deviation1.16835868
Coefficient of variation (CV)0.5315272525
Kurtosis2.349299877
Mean2.198116229
Median Absolute Deviation (MAD)0.6524532545
Skewness1.235127152
Sum228.6040878
Variance1.365062005
MonotonicityNot monotonic
2025-11-14T18:32:02.615653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5884831151
 
1.0%
1.3771236581
 
1.0%
0.5506347491
 
1.0%
1.5291489151
 
1.0%
2.8799354471
 
1.0%
1.4547190971
 
1.0%
2.6586162871
 
1.0%
1.4141752871
 
1.0%
1.4387305791
 
1.0%
1.4402056921
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
0.5506347491
1.0%
0.5726351941
1.0%
0.5884831151
1.0%
0.6763831811
1.0%
ValueCountFrequency (%)
7.0506787251
1.0%
5.2627804031
1.0%
5.2268958971
1.0%
5.0055123131
1.0%
4.2194670881
1.0%

num_of_pendown3
Real number (ℝ)

Distinct11
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.875
Minimum0
Maximum14
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:02.685768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile6
Maximum14
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.375798282
Coefficient of variation (CV)0.8263646198
Kurtosis5.100403165
Mean2.875
Median Absolute Deviation (MAD)1
Skewness1.803555884
Sum299
Variance5.644417476
MonotonicityNot monotonic
2025-11-14T18:32:02.750407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
146
44.2%
422
21.2%
210
 
9.6%
59
 
8.7%
66
 
5.8%
35
 
4.8%
82
 
1.9%
121
 
1.0%
01
 
1.0%
141
 
1.0%
ValueCountFrequency (%)
01
 
1.0%
146
44.2%
210
 
9.6%
35
 
4.8%
422
21.2%
ValueCountFrequency (%)
141
 
1.0%
121
 
1.0%
82
 
1.9%
71
 
1.0%
66
5.8%

paper_time3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7800.625
Minimum0
Maximum27845
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:02.829449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2961.5
Q15061.25
median6845
Q39835
95-th percentile16345.75
Maximum27845
Range27845
Interquartile range (IQR)4773.75

Descriptive statistics

Standard deviation4543.692507
Coefficient of variation (CV)0.5824780074
Kurtosis5.213309329
Mean7800.625
Median Absolute Deviation (MAD)2255
Skewness1.884936149
Sum811265
Variance20645141.6
MonotonicityNot monotonic
2025-11-14T18:32:03.058072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244751
 
1.0%
131501
 
1.0%
8551
 
1.0%
82351
 
1.0%
47601
 
1.0%
105251
 
1.0%
58801
 
1.0%
95601
 
1.0%
94501
 
1.0%
123351
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
8551
1.0%
19101
1.0%
25551
1.0%
27001
1.0%
ValueCountFrequency (%)
278451
1.0%
244751
1.0%
224501
1.0%
201501
1.0%
178451
1.0%

pressure_mean3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1755.708978
Minimum0
Maximum2037.980014
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:03.165129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1007.409905
Q11700.649868
median1890.204081
Q31988.473128
95-th percentile2030.198909
Maximum2037.980014
Range2037.980014
Interquartile range (IQR)287.8232593

Descriptive statistics

Standard deviation352.1821186
Coefficient of variation (CV)0.2005925373
Kurtosis5.825181606
Mean1755.708978
Median Absolute Deviation (MAD)119.8340365
Skewness-2.181364374
Sum182593.7337
Variance124032.2446
MonotonicityNot monotonic
2025-11-14T18:32:03.256954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1314.982841
 
1.0%
1826.2980991
 
1.0%
1314.5380121
 
1.0%
1770.2343661
 
1.0%
2013.2384451
 
1.0%
1932.9448931
 
1.0%
1998.023811
 
1.0%
1946.5214441
 
1.0%
1852.3333331
 
1.0%
1964.4714231
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
858.60735291
1.0%
868.36454651
1.0%
903.12598431
1.0%
976.44346681
1.0%
ValueCountFrequency (%)
2037.9800141
1.0%
2037.6443761
1.0%
2032.5556981
1.0%
2032.2506371
1.0%
2030.3393351
1.0%

pressure_var3
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111651.9027
Minimum0
Maximum347748.2816
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:03.345513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19282.11602
Q142417.0308
median90499.28406
Q3153993.2882
95-th percentile269033.3171
Maximum347748.2816
Range347748.2816
Interquartile range (IQR)111576.2573

Descriptive statistics

Standard deviation81269.94573
Coefficient of variation (CV)0.7278867962
Kurtosis0.4834929292
Mean111651.9027
Median Absolute Deviation (MAD)50250.7588
Skewness0.99759014
Sum11611797.88
Variance6604804078
MonotonicityNot monotonic
2025-11-14T18:32:03.439909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109466.63631
 
1.0%
238074.80471
 
1.0%
341694.29531
 
1.0%
148991.82491
 
1.0%
41684.383271
 
1.0%
118886.97461
 
1.0%
53875.230731
 
1.0%
112944.34471
 
1.0%
204426.90051
 
1.0%
77042.014081
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
8210.1237981
1.0%
11966.132611
1.0%
15938.113741
1.0%
17883.1861
1.0%
ValueCountFrequency (%)
347748.28161
1.0%
341694.29531
1.0%
329968.76241
1.0%
304570.31431
1.0%
293029.0591
1.0%

total_time3
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12024.56731
Minimum2195
Maximum39545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:03.523401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2195
5-th percentile3715.5
Q16455
median10135
Q314692.5
95-th percentile28531.25
Maximum39545
Range37350
Interquartile range (IQR)8237.5

Descriptive statistics

Standard deviation7849.371538
Coefficient of variation (CV)0.6527778786
Kurtosis1.812282017
Mean12024.56731
Median Absolute Deviation (MAD)4175
Skewness1.415649179
Sum1250555
Variance61612633.55
MonotonicityNot monotonic
2025-11-14T18:32:03.614826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64552
 
1.9%
55052
 
1.9%
314901
 
1.0%
278501
 
1.0%
107351
 
1.0%
21951
 
1.0%
170201
 
1.0%
146401
 
1.0%
118151
 
1.0%
138051
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
21951
1.0%
25701
1.0%
30151
1.0%
31901
1.0%
36251
1.0%
ValueCountFrequency (%)
395451
1.0%
350051
1.0%
337851
1.0%
323601
1.0%
314901
1.0%

air_time4
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11346.58654
Minimum70
Maximum330370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:03.700756image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile571.75
Q1978.75
median3582.5
Q39212.5
95-th percentile33448
Maximum330370
Range330300
Interquartile range (IQR)8233.75

Descriptive statistics

Standard deviation34361.48506
Coefficient of variation (CV)3.028354382
Kurtosis73.8891574
Mean11346.58654
Median Absolute Deviation (MAD)2820
Skewness8.12001061
Sum1180045
Variance1180711655
MonotonicityNot monotonic
2025-11-14T18:32:03.787190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9803
 
2.9%
8502
 
1.9%
8952
 
1.9%
6102
 
1.9%
6702
 
1.9%
73751
 
1.0%
167451
 
1.0%
18001
 
1.0%
155701
 
1.0%
10901
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
701
1.0%
4451
1.0%
4501
1.0%
5401
1.0%
5601
1.0%
ValueCountFrequency (%)
3303701
1.0%
1006501
1.0%
554351
1.0%
355401
1.0%
347451
1.0%

disp_index4
Real number (ℝ)

Distinct70
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.564605769 × 10-5
Minimum8.49 × 10-6
Maximum4.47 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:03.879068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8.49 × 10-6
5-th percentile1.773 × 10-5
Q12.385 × 10-5
median2.56 × 10-5
Q32.7025 × 10-5
95-th percentile3.588 × 10-5
Maximum4.47 × 10-5
Range3.621 × 10-5
Interquartile range (IQR)3.175 × 10-6

Descriptive statistics

Standard deviation5.054827053 × 10-6
Coefficient of variation (CV)0.1970995743
Kurtosis3.184573052
Mean2.564605769 × 10-5
Median Absolute Deviation (MAD)1.6 × 10-6
Skewness0
Sum0.00266719
Variance2.555127654 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:03.977532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.56 × 10-54
 
3.8%
2.49 × 10-54
 
3.8%
2.51 × 10-54
 
3.8%
2.68 × 10-54
 
3.8%
2.4 × 10-54
 
3.8%
2.9 × 10-53
 
2.9%
2.5 × 10-53
 
2.9%
2.64 × 10-53
 
2.9%
2.71 × 10-52
 
1.9%
3.6 × 10-52
 
1.9%
Other values (60)71
68.3%
ValueCountFrequency (%)
8.49 × 10-61
1.0%
1.5 × 10-51
1.0%
1.67 × 10-51
1.0%
1.71 × 10-51
1.0%
1.75 × 10-51
1.0%
ValueCountFrequency (%)
4.47 × 10-51
1.0%
4.06 × 10-51
1.0%
3.77 × 10-51
1.0%
3.7 × 10-51
1.0%
3.6 × 10-52
1.9%

gmrt_in_air4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.3392699
Minimum35.52760785
Maximum647.96522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:04.069426image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum35.52760785
5-th percentile50.87175156
Q188.10036682
median168.0038786
Q3225.0847899
95-th percentile367.6160986
Maximum647.96522
Range612.4376122
Interquartile range (IQR)136.9844231

Descriptive statistics

Standard deviation107.3227153
Coefficient of variation (CV)0.615596907
Kurtosis3.238512407
Mean174.3392699
Median Absolute Deviation (MAD)72.83329595
Skewness1.432816838
Sum18131.28407
Variance11518.16523
MonotonicityNot monotonic
2025-11-14T18:32:04.157309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181.68674321
 
1.0%
289.79524031
 
1.0%
176.27833311
 
1.0%
175.09661471
 
1.0%
268.52774531
 
1.0%
245.94335021
 
1.0%
183.4469961
 
1.0%
204.32274961
 
1.0%
213.86881391
 
1.0%
360.51557631
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
35.527607851
1.0%
43.368809711
1.0%
43.864295121
1.0%
44.705728031
1.0%
45.504716151
1.0%
ValueCountFrequency (%)
647.965221
1.0%
461.85241111
1.0%
441.06773741
1.0%
434.17961121
1.0%
432.23596861
1.0%

gmrt_on_paper4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.4424466
Minimum21.66220159
Maximum202.2832602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:04.262845image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21.66220159
5-th percentile32.74301
Q154.75754364
median70.66212184
Q393.91714066
95-th percentile155.1880521
Maximum202.2832602
Range180.6210586
Interquartile range (IQR)39.15959702

Descriptive statistics

Standard deviation36.19875013
Coefficient of variation (CV)0.4614689075
Kurtosis2.013552261
Mean78.4424466
Median Absolute Deviation (MAD)17.9044302
Skewness1.327718083
Sum8158.014446
Variance1310.349511
MonotonicityNot monotonic
2025-11-14T18:32:04.392122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53.154065991
 
1.0%
96.69598541
 
1.0%
69.408344141
 
1.0%
44.026686941
 
1.0%
70.598417471
 
1.0%
66.634773411
 
1.0%
52.781260871
 
1.0%
75.553378651
 
1.0%
64.847347941
 
1.0%
103.58217651
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
21.662201591
1.0%
27.317653951
1.0%
27.870737751
1.0%
31.144754351
1.0%
32.193636671
1.0%
ValueCountFrequency (%)
202.28326021
1.0%
195.10142881
1.0%
180.19480321
1.0%
171.7773421
1.0%
168.93951011
1.0%

max_x_extension4
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4483.807692
Minimum3411
Maximum7718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:04.529010image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3411
5-th percentile3944.7
Q14146
median4281
Q34480.75
95-th percentile5906.15
Maximum7718
Range4307
Interquartile range (IQR)334.75

Descriptive statistics

Standard deviation736.1475168
Coefficient of variation (CV)0.1641791012
Kurtosis8.214191755
Mean4483.807692
Median Absolute Deviation (MAD)159
Skewness2.734655119
Sum466316
Variance541913.1665
MonotonicityNot monotonic
2025-11-14T18:32:04.625096image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42933
 
2.9%
45332
 
1.9%
42812
 
1.9%
69331
 
1.0%
42211
 
1.0%
43011
 
1.0%
41431
 
1.0%
40491
 
1.0%
44291
 
1.0%
47511
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
34111
1.0%
35731
1.0%
35931
1.0%
37071
1.0%
39351
1.0%
ValueCountFrequency (%)
77181
1.0%
76211
1.0%
70071
1.0%
69331
1.0%
67141
1.0%

max_y_extension4
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4590.884615
Minimum3586
Maximum8787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:04.724464image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3586
5-th percentile3996.85
Q14232.75
median4311.5
Q34520.75
95-th percentile6342.5
Maximum8787
Range5201
Interquartile range (IQR)288

Descriptive statistics

Standard deviation889.6922595
Coefficient of variation (CV)0.1937953867
Kurtosis9.747555084
Mean4590.884615
Median Absolute Deviation (MAD)110.5
Skewness3.064808649
Sum477452
Variance791552.3167
MonotonicityNot monotonic
2025-11-14T18:32:04.823072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42902
 
1.9%
42602
 
1.9%
43452
 
1.9%
42282
 
1.9%
43182
 
1.9%
43112
 
1.9%
43101
 
1.0%
46281
 
1.0%
42871
 
1.0%
41961
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
35861
1.0%
37781
1.0%
38241
1.0%
38251
1.0%
39031
1.0%
ValueCountFrequency (%)
87871
1.0%
82071
1.0%
80551
1.0%
77231
1.0%
69191
1.0%

mean_acc_in_air4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3672474458
Minimum0.111905601
Maximum1.797789983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:04.914839image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.111905601
5-th percentile0.1389712938
Q10.1919188383
median0.2817239595
Q30.4006037072
95-th percentile0.8475949734
Maximum1.797789983
Range1.685884382
Interquartile range (IQR)0.208684869

Descriptive statistics

Standard deviation0.2801049486
Coefficient of variation (CV)0.7627144908
Kurtosis10.11865665
Mean0.3672474458
Median Absolute Deviation (MAD)0.095984849
Skewness2.778340159
Sum38.19373437
Variance0.07845878225
MonotonicityNot monotonic
2025-11-14T18:32:04.998869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3444917371
 
1.0%
0.7734861231
 
1.0%
0.3584689651
 
1.0%
0.6568108451
 
1.0%
0.1846153131
 
1.0%
0.6754076321
 
1.0%
0.5092115411
 
1.0%
0.465218091
 
1.0%
0.5735399991
 
1.0%
0.5330943621
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.1119056011
1.0%
0.1224393691
1.0%
0.1251013861
1.0%
0.1251323731
1.0%
0.1349065471
1.0%
ValueCountFrequency (%)
1.7977899831
1.0%
1.6782123651
1.0%
1.108568161
1.0%
0.9143422271
1.0%
0.9029789361
1.0%

mean_acc_on_paper4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1468894695
Minimum0.060087551
Maximum0.271537886
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:05.309100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.060087551
5-th percentile0.067381929
Q10.1085507957
median0.143314677
Q30.1804839413
95-th percentile0.2274246449
Maximum0.271537886
Range0.211450335
Interquartile range (IQR)0.0719331455

Descriptive statistics

Standard deviation0.05148905871
Coefficient of variation (CV)0.3505292714
Kurtosis-0.6775256496
Mean0.1468894695
Median Absolute Deviation (MAD)0.0357457215
Skewness0.2709780067
Sum15.27650482
Variance0.002651123167
MonotonicityNot monotonic
2025-11-14T18:32:05.403087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2023389781
 
1.0%
0.1059761411
 
1.0%
0.1323869751
 
1.0%
0.1298332271
 
1.0%
0.130979451
 
1.0%
0.1729628521
 
1.0%
0.1734378281
 
1.0%
0.1613243781
 
1.0%
0.164814721
 
1.0%
0.0903602211
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0600875511
1.0%
0.0603117861
1.0%
0.0606781291
1.0%
0.0658459821
1.0%
0.065971971
1.0%
ValueCountFrequency (%)
0.2715378861
1.0%
0.2609412841
1.0%
0.2579868461
1.0%
0.2293687151
1.0%
0.2283729961
1.0%

mean_gmrt4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.3908583
Minimum44.45366257
Maximum359.3506881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:05.501935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum44.45366257
5-th percentile52.56440231
Q177.78333004
median119.6482394
Q3158.6089404
95-th percentile240.1598659
Maximum359.3506881
Range314.8970255
Interquartile range (IQR)80.82561039

Descriptive statistics

Standard deviation59.20296706
Coefficient of variation (CV)0.4684117813
Kurtosis2.278007194
Mean126.3908583
Median Absolute Deviation (MAD)42.11816436
Skewness1.236760422
Sum13144.64926
Variance3504.991309
MonotonicityNot monotonic
2025-11-14T18:32:05.598938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
117.42040461
 
1.0%
193.24561291
 
1.0%
122.84333861
 
1.0%
109.56165081
 
1.0%
169.56308141
 
1.0%
156.28906181
 
1.0%
118.11412841
 
1.0%
139.93806411
 
1.0%
139.35808091
 
1.0%
232.04887641
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
44.453662571
1.0%
47.863470841
1.0%
48.299208761
1.0%
48.823795271
1.0%
49.654017991
1.0%
ValueCountFrequency (%)
359.35068811
1.0%
315.39596061
1.0%
272.64414931
1.0%
271.04548991
1.0%
249.8657131
1.0%

mean_jerk_in_air4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05946528593
Minimum0.014170264
Maximum0.337218249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:05.690256image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.014170264
5-th percentile0.01852903085
Q10.02689753425
median0.04009255
Q30.06775275725
95-th percentile0.1618086944
Maximum0.337218249
Range0.323047985
Interquartile range (IQR)0.040855223

Descriptive statistics

Standard deviation0.05466719996
Coefficient of variation (CV)0.9193128242
Kurtosis9.911196595
Mean0.05946528593
Median Absolute Deviation (MAD)0.0162884795
Skewness2.785116014
Sum6.184389737
Variance0.002988502751
MonotonicityNot monotonic
2025-11-14T18:32:05.771160image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0529968461
 
1.0%
0.1339941111
 
1.0%
0.0499042451
 
1.0%
0.1133080441
 
1.0%
0.029837751
 
1.0%
0.1265430151
 
1.0%
0.0865108311
 
1.0%
0.0777188551
 
1.0%
0.102648161
 
1.0%
0.0939098531
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0141702641
1.0%
0.0162573451
1.0%
0.0172612441
1.0%
0.0173097221
1.0%
0.0184065791
1.0%
ValueCountFrequency (%)
0.3372182491
1.0%
0.3138494591
1.0%
0.1981528021
1.0%
0.1754022981
1.0%
0.1704144471
1.0%

mean_jerk_on_paper4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01359682911
Minimum0.00817668
Maximum0.021189821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:05.883693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00817668
5-th percentile0.00958264515
Q10.01125721225
median0.0136661645
Q30.01571282425
95-th percentile0.01782923615
Maximum0.021189821
Range0.013013141
Interquartile range (IQR)0.004455612

Descriptive statistics

Standard deviation0.002761279072
Coefficient of variation (CV)0.2030825754
Kurtosis-0.7392537039
Mean0.01359682911
Median Absolute Deviation (MAD)0.0022387435
Skewness0.1282074335
Sum1.414070227
Variance7.624662114 × 10-6
MonotonicityNot monotonic
2025-11-14T18:32:05.979824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0164252921
 
1.0%
0.0130713781
 
1.0%
0.0146901141
 
1.0%
0.0153603181
 
1.0%
0.0139578711
 
1.0%
0.0151776621
 
1.0%
0.0149188731
 
1.0%
0.0154102631
 
1.0%
0.0173772561
 
1.0%
0.0118369591
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.008176681
1.0%
0.0084679481
1.0%
0.0093686611
1.0%
0.0093922521
1.0%
0.0095426671
1.0%
ValueCountFrequency (%)
0.0211898211
1.0%
0.0188496971
1.0%
0.0180920961
1.0%
0.0180346721
1.0%
0.0179172131
1.0%

mean_speed_in_air4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.564193719
Minimum0.524151919
Maximum8.566686323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:06.096110image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.524151919
5-th percentile0.8640368517
Q11.48381375
median2.098157245
Q33.197976337
95-th percentile6.237389054
Maximum8.566686323
Range8.042534404
Interquartile range (IQR)1.714162588

Descriptive statistics

Standard deviation1.606598922
Coefficient of variation (CV)0.6265513052
Kurtosis3.868541882
Mean2.564193719
Median Absolute Deviation (MAD)0.7716171285
Skewness1.806778085
Sum266.6761468
Variance2.581160095
MonotonicityNot monotonic
2025-11-14T18:32:06.215135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2062534731
 
1.0%
5.4161966591
 
1.0%
2.498040321
 
1.0%
3.682559961
 
1.0%
1.3714267921
 
1.0%
2.9265566861
 
1.0%
3.8685793981
 
1.0%
2.366006161
 
1.0%
3.0732221891
 
1.0%
7.3872976731
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.5241519191
1.0%
0.6125564961
1.0%
0.6308975861
1.0%
0.7236725881
1.0%
0.8473932031
1.0%
ValueCountFrequency (%)
8.5666863231
1.0%
8.3709607351
1.0%
7.8341551821
1.0%
7.3872976731
1.0%
6.5082343541
1.0%

mean_speed_on_paper4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.50330664
Minimum0.427906305
Maximum4.037915803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:06.314775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.427906305
5-th percentile0.6188509759
Q11.024631913
median1.381594835
Q31.721418718
95-th percentile2.861950183
Maximum4.037915803
Range3.610009498
Interquartile range (IQR)0.6967868053

Descriptive statistics

Standard deviation0.7240863716
Coefficient of variation (CV)0.4816624582
Kurtosis2.434658092
Mean1.50330664
Median Absolute Deviation (MAD)0.3530236875
Skewness1.44222146
Sum156.3438905
Variance0.5243010735
MonotonicityNot monotonic
2025-11-14T18:32:06.419320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0666142171
 
1.0%
1.2834809961
 
1.0%
1.3792846541
 
1.0%
0.8434568281
 
1.0%
1.397576931
 
1.0%
1.2699023141
 
1.0%
1.0587875981
 
1.0%
1.3065959341
 
1.0%
0.9559493251
 
1.0%
1.6920521021
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.4279063051
1.0%
0.475094011
1.0%
0.4861114951
1.0%
0.5094163141
1.0%
0.5601398351
1.0%
ValueCountFrequency (%)
4.0379158031
1.0%
3.9087775321
1.0%
3.6231574711
1.0%
3.4594892191
1.0%
3.381087431
1.0%

num_of_pendown4
Real number (ℝ)

Distinct20
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.75
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:06.528442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q37
95-th percentile18
Maximum77
Range76
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.10503095
Coefficient of variation (CV)1.757396687
Kurtosis27.00010932
Mean5.75
Median Absolute Deviation (MAD)1
Skewness4.676873405
Sum598
Variance102.1116505
MonotonicityNot monotonic
2025-11-14T18:32:06.607380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
139
37.5%
215
 
14.4%
410
 
9.6%
38
 
7.7%
86
 
5.8%
75
 
4.8%
63
 
2.9%
182
 
1.9%
92
 
1.9%
122
 
1.9%
Other values (10)12
 
11.5%
ValueCountFrequency (%)
139
37.5%
215
 
14.4%
38
 
7.7%
410
 
9.6%
52
 
1.9%
ValueCountFrequency (%)
771
1.0%
471
1.0%
411
1.0%
251
1.0%
201
1.0%

paper_time4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27945.52885
Minimum4980
Maximum69085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:06.697620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4980
5-th percentile9730.75
Q118591.25
median24577.5
Q335406.25
95-th percentile58526.25
Maximum69085
Range64105
Interquartile range (IQR)16815

Descriptive statistics

Standard deviation14192.48887
Coefficient of variation (CV)0.5078625975
Kurtosis0.4750804219
Mean27945.52885
Median Absolute Deviation (MAD)6880
Skewness0.9695854236
Sum2906335
Variance201426740.3
MonotonicityNot monotonic
2025-11-14T18:32:06.785804image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
389251
 
1.0%
49801
 
1.0%
248551
 
1.0%
309751
 
1.0%
259001
 
1.0%
254101
 
1.0%
273701
 
1.0%
278451
 
1.0%
660451
 
1.0%
121401
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
49801
1.0%
72051
1.0%
77601
1.0%
81351
1.0%
93251
1.0%
ValueCountFrequency (%)
690851
1.0%
660451
1.0%
636501
1.0%
598951
1.0%
598501
1.0%

pressure_mean4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1882.590236
Minimum796.3513365
Maximum2045.481959
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:06.865458image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum796.3513365
5-th percentile1335.325376
Q11878.808725
median1993.055845
Q32029.318599
95-th percentile2038.628959
Maximum2045.481959
Range1249.130622
Interquartile range (IQR)150.509874

Descriptive statistics

Standard deviation257.3619417
Coefficient of variation (CV)0.136706298
Kurtosis5.398231011
Mean1882.590236
Median Absolute Deviation (MAD)42.4365485
Skewness-2.372493662
Sum195789.3845
Variance66235.16906
MonotonicityNot monotonic
2025-11-14T18:32:06.986653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1864.2226081
 
1.0%
1881.7218881
 
1.0%
2032.063771
 
1.0%
1707.4133981
 
1.0%
1996.3571431
 
1.0%
2009.0674931
 
1.0%
1980.527221
 
1.0%
1982.5171491
 
1.0%
1690.2249221
 
1.0%
1916.8439041
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
796.35133651
1.0%
974.13420431
1.0%
1046.794391
1.0%
1109.28361
1.0%
1117.4587341
1.0%
ValueCountFrequency (%)
2045.4819591
1.0%
2042.0493271
1.0%
2041.5805761
1.0%
2041.0585651
1.0%
2038.7905171
1.0%

pressure_var4
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63463.6067
Minimum1620.839881
Maximum272912.8665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:07.113926image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1620.839881
5-th percentile9830.033069
Q118817.38466
median45678.96545
Q396541.10833
95-th percentile178115.6783
Maximum272912.8665
Range271292.0266
Interquartile range (IQR)77723.72367

Descriptive statistics

Standard deviation56129.84099
Coefficient of variation (CV)0.8844413974
Kurtosis1.978200721
Mean63463.6067
Median Absolute Deviation (MAD)31420.42633
Skewness1.419058859
Sum6600215.097
Variance3150559050
MonotonicityNot monotonic
2025-11-14T18:32:07.379511image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72793.010821
 
1.0%
194098.59031
 
1.0%
17596.308351
 
1.0%
126138.70551
 
1.0%
71450.021481
 
1.0%
49925.616261
 
1.0%
69400.306991
 
1.0%
78655.393181
 
1.0%
215579.20051
 
1.0%
161898.63341
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
1620.8398811
1.0%
6592.3468581
1.0%
6835.1958071
1.0%
7469.7233841
1.0%
9617.2540441
1.0%
ValueCountFrequency (%)
272912.86651
1.0%
243237.94981
1.0%
215579.20051
1.0%
194098.59031
1.0%
184027.77461
1.0%

total_time4
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39292.11538
Minimum7830
Maximum396415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:07.534069image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7830
5-th percentile11108.25
Q120427.5
median28295
Q346511.25
95-th percentile87453
Maximum396415
Range388585
Interquartile range (IQR)26083.75

Descriptive statistics

Standard deviation42069.03496
Coefficient of variation (CV)1.07067371
Kurtosis50.83179382
Mean39292.11538
Median Absolute Deviation (MAD)10100
Skewness6.250049129
Sum4086380
Variance1769803703
MonotonicityNot monotonic
2025-11-14T18:32:07.642671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
257802
 
1.9%
446101
 
1.0%
420651
 
1.0%
465451
 
1.0%
269901
 
1.0%
294151
 
1.0%
520851
 
1.0%
1284951
 
1.0%
3964151
 
1.0%
336101
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
78301
1.0%
81701
1.0%
89951
1.0%
101751
1.0%
102501
1.0%
ValueCountFrequency (%)
3964151
1.0%
1284951
1.0%
1152851
1.0%
997101
1.0%
954351
1.0%

air_time5
Real number (ℝ)

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4636.048077
Minimum35
Maximum66034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:07.742695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile548
Q1746.25
median1347.5
Q35196.25
95-th percentile18447
Maximum66034
Range65999
Interquartile range (IQR)4450

Descriptive statistics

Standard deviation8326.94558
Coefficient of variation (CV)1.796130118
Kurtosis29.09925205
Mean4636.048077
Median Absolute Deviation (MAD)742.5
Skewness4.643023996
Sum482149
Variance69338022.69
MonotonicityNot monotonic
2025-11-14T18:32:07.859183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8754
 
3.8%
6803
 
2.9%
7502
 
1.9%
10002
 
1.9%
7702
 
1.9%
6052
 
1.9%
8202
 
1.9%
8301
 
1.0%
7351
 
1.0%
351
 
1.0%
Other values (84)84
80.8%
ValueCountFrequency (%)
351
1.0%
2151
1.0%
5001
1.0%
5101
1.0%
5401
1.0%
ValueCountFrequency (%)
660341
1.0%
263101
1.0%
254051
1.0%
248351
1.0%
246101
1.0%

disp_index5
Real number (ℝ)

Distinct62
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.557019231 × 10-5
Minimum0
Maximum3.52 × 10-5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:07.965948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.9255 × 10-6
Q11.38 × 10-5
median1.495 × 10-5
Q31.58 × 10-5
95-th percentile2.711 × 10-5
Maximum3.52 × 10-5
Range3.52 × 10-5
Interquartile range (IQR)2 × 10-6

Descriptive statistics

Standard deviation5.287777256 × 10-6
Coefficient of variation (CV)0.3396089882
Kurtosis4.576277699
Mean1.557019231 × 10-5
Median Absolute Deviation (MAD)1 × 10-6
Skewness1.326961008
Sum0.0016193
Variance2.796058831 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:08.067870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.55 × 10-56
 
5.8%
1.47 × 10-55
 
4.8%
1.49 × 10-55
 
4.8%
1.57 × 10-54
 
3.8%
1.53 × 10-54
 
3.8%
1.22 × 10-54
 
3.8%
1.46 × 10-54
 
3.8%
1.58 × 10-53
 
2.9%
1.54 × 10-53
 
2.9%
1.43 × 10-53
 
2.9%
Other values (52)63
60.6%
ValueCountFrequency (%)
01
1.0%
3.39 × 10-61
1.0%
3.5 × 10-61
1.0%
8.06 × 10-61
1.0%
8.52 × 10-61
1.0%
ValueCountFrequency (%)
3.52 × 10-51
1.0%
3.36 × 10-51
1.0%
3.2 × 10-51
1.0%
3.06 × 10-51
1.0%
2.96 × 10-51
1.0%

gmrt_in_air5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.9491986
Minimum0
Maximum399.8689653
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:08.163346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.7425319
Q177.28566362
median99.42930893
Q3147.2726531
95-th percentile235.0646652
Maximum399.8689653
Range399.8689653
Interquartile range (IQR)69.98698945

Descriptive statistics

Standard deviation65.14768769
Coefficient of variation (CV)0.5570597186
Kurtosis3.597267399
Mean116.9491986
Median Absolute Deviation (MAD)31.96263136
Skewness1.537579999
Sum12162.71666
Variance4244.221211
MonotonicityNot monotonic
2025-11-14T18:32:08.257633image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.488498471
 
1.0%
64.80258691
 
1.0%
179.23159961
 
1.0%
399.86896531
 
1.0%
198.17784241
 
1.0%
113.67102711
 
1.0%
01
 
1.0%
134.50152691
 
1.0%
338.77978581
 
1.0%
66.864763251
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
29.189924731
1.0%
37.072300181
1.0%
37.332840541
1.0%
41.579775421
1.0%
ValueCountFrequency (%)
399.86896531
1.0%
338.77978581
1.0%
283.57655211
1.0%
255.01063741
1.0%
246.53709921
1.0%

gmrt_on_paper5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.58356608
Minimum0
Maximum347.621714
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:08.362159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.25875711
Q145.53614491
median63.03679703
Q384.77062919
95-th percentile132.0881235
Maximum347.621714
Range347.621714
Interquartile range (IQR)39.23448427

Descriptive statistics

Standard deviation46.69920277
Coefficient of variation (CV)0.6433853459
Kurtosis13.22102771
Mean72.58356608
Median Absolute Deviation (MAD)20.94107111
Skewness2.891576805
Sum7548.690873
Variance2180.81554
MonotonicityNot monotonic
2025-11-14T18:32:08.475744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40.166190261
 
1.0%
53.932930851
 
1.0%
112.99236511
 
1.0%
01
 
1.0%
162.14631821
 
1.0%
58.828691471
 
1.0%
78.057946321
 
1.0%
33.831488471
 
1.0%
75.027171381
 
1.0%
51.491763321
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
18.840138111
1.0%
19.116248481
1.0%
23.226666141
1.0%
26.946555281
1.0%
ValueCountFrequency (%)
347.6217141
1.0%
267.24049471
1.0%
172.29516391
1.0%
162.14631821
1.0%
152.95717261
1.0%

max_x_extension5
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2876.817308
Minimum0
Maximum10933
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:08.580928image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2085.2
Q12409.5
median2529.5
Q32729.5
95-th percentile5428
Maximum10933
Range10933
Interquartile range (IQR)320

Descriptive statistics

Standard deviation1226.887021
Coefficient of variation (CV)0.4264737346
Kurtosis18.81470585
Mean2876.817308
Median Absolute Deviation (MAD)126.5
Skewness3.604946038
Sum299189
Variance1505251.762
MonotonicityNot monotonic
2025-11-14T18:32:08.682131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24072
 
1.9%
24862
 
1.9%
26562
 
1.9%
26162
 
1.9%
25282
 
1.9%
25622
 
1.9%
25092
 
1.9%
32721
 
1.0%
23291
 
1.0%
25831
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
01
1.0%
18821
1.0%
20401
1.0%
20571
1.0%
20641
1.0%
ValueCountFrequency (%)
109331
1.0%
64761
1.0%
60391
1.0%
60001
1.0%
56671
1.0%

max_y_extension5
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2729.990385
Minimum0
Maximum6103
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:08.778323image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2072.75
Q12380.5
median2472
Q32641.25
95-th percentile4958.4
Maximum6103
Range6103
Interquartile range (IQR)260.75

Descriptive statistics

Standard deviation927.9285574
Coefficient of variation (CV)0.3399017677
Kurtosis4.660987852
Mean2729.990385
Median Absolute Deviation (MAD)111.5
Skewness1.769911807
Sum283919
Variance861051.4077
MonotonicityNot monotonic
2025-11-14T18:32:08.878590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25432
 
1.9%
24262
 
1.9%
24472
 
1.9%
24182
 
1.9%
24092
 
1.9%
23822
 
1.9%
23892
 
1.9%
23511
 
1.0%
01
 
1.0%
25541
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
01
1.0%
11941
1.0%
12391
1.0%
18761
1.0%
19901
1.0%
ValueCountFrequency (%)
61031
1.0%
61001
1.0%
55031
1.0%
53381
1.0%
53301
1.0%

mean_acc_in_air5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2676901562
Minimum0.089748465
Maximum1.21847767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:08.976665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.089748465
5-th percentile0.1365037541
Q10.1770178975
median0.2203195055
Q30.300215266
95-th percentile0.5991281934
Maximum1.21847767
Range1.128729205
Interquartile range (IQR)0.1231973685

Descriptive statistics

Standard deviation0.1615379659
Coefficient of variation (CV)0.6034512744
Kurtosis12.54064864
Mean0.2676901562
Median Absolute Deviation (MAD)0.055083151
Skewness3.018550496
Sum27.83977625
Variance0.02609451444
MonotonicityNot monotonic
2025-11-14T18:32:09.084377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2011159951
 
1.0%
0.258928991
 
1.0%
0.2934046111
 
1.0%
0.8301975371
 
1.0%
0.2061368961
 
1.0%
0.2015732011
 
1.0%
0.4638693451
 
1.0%
0.1908569831
 
1.0%
0.6007151691
 
1.0%
0.1896773651
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0897484651
1.0%
0.1129876581
1.0%
0.1202626911
1.0%
0.1323752191
1.0%
0.1324267921
1.0%
ValueCountFrequency (%)
1.218477671
1.0%
0.8301975371
1.0%
0.7164760281
1.0%
0.6468989211
1.0%
0.6380822081
1.0%

mean_acc_on_paper5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1617575102
Minimum0
Maximum0.270123153
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:09.180251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07169394165
Q10.1216982473
median0.170061038
Q30.2028028257
95-th percentile0.2331373776
Maximum0.270123153
Range0.270123153
Interquartile range (IQR)0.0811045785

Descriptive statistics

Standard deviation0.05434052328
Coefficient of variation (CV)0.3359381781
Kurtosis-0.4073458469
Mean0.1617575102
Median Absolute Deviation (MAD)0.0357581275
Skewness-0.5036879833
Sum16.82278106
Variance0.00295289247
MonotonicityNot monotonic
2025-11-14T18:32:09.289796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1843011991
 
1.0%
0.2034943871
 
1.0%
0.1044357411
 
1.0%
01
 
1.0%
0.0556757081
 
1.0%
0.2114273871
 
1.0%
0.1274706911
 
1.0%
0.1956396171
 
1.0%
0.1423099431
 
1.0%
0.2231196691
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
0.0503297171
1.0%
0.0556757081
1.0%
0.06764161
1.0%
0.0688322651
1.0%
ValueCountFrequency (%)
0.2701231531
1.0%
0.2559917811
1.0%
0.2451453811
1.0%
0.2432139961
1.0%
0.2400902431
1.0%

mean_gmrt5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.76638236
Minimum34.20903654
Maximum246.8222032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:09.394727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum34.20903654
5-th percentile41.45958607
Q165.08873153
median85.71315725
Q3108.2701535
95-th percentile178.5473001
Maximum246.8222032
Range212.6131667
Interquartile range (IQR)43.18142197

Descriptive statistics

Standard deviation43.09683198
Coefficient of variation (CV)0.4547692009
Kurtosis1.850566624
Mean94.76638236
Median Absolute Deviation (MAD)21.1606966
Skewness1.318335315
Sum9855.703766
Variance1857.336927
MonotonicityNot monotonic
2025-11-14T18:32:09.498481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69.327344361
 
1.0%
59.367758881
 
1.0%
146.11198241
 
1.0%
199.93448271
 
1.0%
180.16208031
 
1.0%
86.24985931
 
1.0%
39.028973161
 
1.0%
84.166507681
 
1.0%
206.90347861
 
1.0%
59.178263281
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
34.209036541
1.0%
35.939070321
1.0%
37.660047851
1.0%
38.669075011
1.0%
39.028973161
1.0%
ValueCountFrequency (%)
246.82220321
1.0%
230.89607871
1.0%
207.41142291
1.0%
206.90347861
1.0%
199.93448271
1.0%

mean_jerk_in_air5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03794116175
Minimum0.014003955
Maximum0.243149876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:09.801589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.014003955
5-th percentile0.0180072476
Q10.02214314425
median0.0248983805
Q30.04128108175
95-th percentile0.1043106895
Maximum0.243149876
Range0.229145921
Interquartile range (IQR)0.0191379375

Descriptive statistics

Standard deviation0.03087407809
Coefficient of variation (CV)0.8137357073
Kurtosis19.17594463
Mean0.03794116175
Median Absolute Deviation (MAD)0.0048725225
Skewness3.702905906
Sum3.945880822
Variance0.0009532086981
MonotonicityNot monotonic
2025-11-14T18:32:09.912139image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0250110651
 
1.0%
0.0360115961
 
1.0%
0.0410471421
 
1.0%
0.1145224411
 
1.0%
0.0362697071
 
1.0%
0.0227640251
 
1.0%
0.0140039551
 
1.0%
0.0216330821
 
1.0%
0.0987305841
 
1.0%
0.0215510641
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0140039551
1.0%
0.0142882271
1.0%
0.0154806861
1.0%
0.0163806841
1.0%
0.0165667931
1.0%
ValueCountFrequency (%)
0.2431498761
1.0%
0.121363891
1.0%
0.1145224411
1.0%
0.1139805821
1.0%
0.1128501321
1.0%

mean_jerk_on_paper5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01462618107
Minimum0
Maximum0.028092446
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:10.001785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00948239815
Q10.0129645885
median0.0145956305
Q30.017208583
95-th percentile0.01867705185
Maximum0.028092446
Range0.028092446
Interquartile range (IQR)0.0042439945

Descriptive statistics

Standard deviation0.003429012253
Coefficient of variation (CV)0.2344434434
Kurtosis3.822539932
Mean0.01462618107
Median Absolute Deviation (MAD)0.0025600055
Skewness-0.2727449281
Sum1.521122831
Variance1.175812503 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:10.103211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0177339461
 
1.0%
0.0180893241
 
1.0%
0.0113195621
 
1.0%
01
 
1.0%
0.0090488641
 
1.0%
0.0180269381
 
1.0%
0.0133996051
 
1.0%
0.0193707591
 
1.0%
0.0139679641
 
1.0%
0.0175851741
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
0.0082752791
1.0%
0.0090128041
1.0%
0.0090455461
1.0%
0.0090488641
1.0%
ValueCountFrequency (%)
0.0280924461
1.0%
0.0207655211
1.0%
0.0193707591
1.0%
0.0187960911
1.0%
0.0187308931
1.0%

mean_speed_in_air5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.938498639
Minimum0.506268528
Maximum9.932748328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:10.201776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.506268528
5-th percentile0.8638910132
Q11.149653847
median1.683314512
Q32.213747302
95-th percentile3.710518421
Maximum9.932748328
Range9.4264798
Interquartile range (IQR)1.064093456

Descriptive statistics

Standard deviation1.244012392
Coefficient of variation (CV)0.6417401418
Kurtosis17.72768533
Mean1.938498639
Median Absolute Deviation (MAD)0.535790624
Skewness3.475237382
Sum201.6038585
Variance1.547566831
MonotonicityNot monotonic
2025-11-14T18:32:10.298983image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.831962361
 
1.0%
2.0705602121
 
1.0%
2.8163007441
 
1.0%
9.9327483281
 
1.0%
1.8350753921
 
1.0%
1.4879706751
 
1.0%
6.3857259431
 
1.0%
1.1517838051
 
1.0%
5.9952532111
 
1.0%
1.0248189881
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.5062685281
1.0%
0.7142892011
1.0%
0.7441317181
1.0%
0.7926700231
1.0%
0.8423777721
1.0%
ValueCountFrequency (%)
9.9327483281
1.0%
6.3857259431
1.0%
5.9952532111
1.0%
4.0925200421
1.0%
3.9025578781
1.0%

mean_speed_on_paper5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.413891046
Minimum0
Maximum6.54521464
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:10.430557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5466504289
Q10.8590784598
median1.24765332
Q31.68533694
95-th percentile2.540779994
Maximum6.54521464
Range6.54521464
Interquartile range (IQR)0.82625848

Descriptive statistics

Standard deviation0.893798042
Coefficient of variation (CV)0.6321548218
Kurtosis11.83945839
Mean1.413891046
Median Absolute Deviation (MAD)0.41486248
Skewness2.696158972
Sum147.0446688
Variance0.79887494
MonotonicityNot monotonic
2025-11-14T18:32:10.518379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8057190851
 
1.0%
1.0793848421
 
1.0%
2.2978445341
 
1.0%
01
 
1.0%
3.2488455711
 
1.0%
1.1788386581
 
1.0%
1.5680053921
 
1.0%
0.6723372941
 
1.0%
1.3118181031
 
1.0%
1.0372883141
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
0.2931971941
1.0%
0.3496746771
1.0%
0.3757991141
1.0%
0.3784187271
1.0%
ValueCountFrequency (%)
6.545214641
1.0%
5.0397451021
1.0%
3.5090328351
1.0%
3.2488455711
1.0%
2.6243811171
1.0%

num_of_pendown5
Real number (ℝ)

Distinct13
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.259615385
Minimum0
Maximum37
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:10.591597image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q34
95-th percentile8
Maximum37
Range37
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.476465302
Coefficient of variation (CV)1.373310889
Kurtosis31.92725544
Mean3.259615385
Median Absolute Deviation (MAD)0.5
Skewness4.821793344
Sum339
Variance20.0387416
MonotonicityNot monotonic
2025-11-14T18:32:10.681532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
152
50.0%
211
 
10.6%
38
 
7.7%
67
 
6.7%
47
 
6.7%
56
 
5.8%
84
 
3.8%
74
 
3.8%
161
 
1.0%
371
 
1.0%
Other values (3)3
 
2.9%
ValueCountFrequency (%)
01
 
1.0%
152
50.0%
211
 
10.6%
38
 
7.7%
47
 
6.7%
ValueCountFrequency (%)
371
 
1.0%
171
 
1.0%
161
 
1.0%
111
 
1.0%
84
3.8%

paper_time5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18197.30769
Minimum0
Maximum64885
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:10.765038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5047.25
Q111727.5
median16182.5
Q323916.25
95-th percentile33971.5
Maximum64885
Range64885
Interquartile range (IQR)12188.75

Descriptive statistics

Standard deviation10228.59197
Coefficient of variation (CV)0.5620936977
Kurtosis3.563430472
Mean18197.30769
Median Absolute Deviation (MAD)5710
Skewness1.333649599
Sum1892520
Variance104624093.7
MonotonicityNot monotonic
2025-11-14T18:32:10.860462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
241651
 
1.0%
184651
 
1.0%
81351
 
1.0%
01
 
1.0%
54851
 
1.0%
149851
 
1.0%
119801
 
1.0%
33001
 
1.0%
123001
 
1.0%
188251
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
14851
1.0%
33001
1.0%
46001
1.0%
47901
1.0%
ValueCountFrequency (%)
648851
1.0%
497401
1.0%
389401
1.0%
355701
1.0%
343001
1.0%

pressure_mean5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1878.682226
Minimum0
Maximum2046.593489
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:10.965065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1126.340955
Q11900.503946
median1996.466925
Q32029.837966
95-th percentile2040.300339
Maximum2046.593489
Range2046.593489
Interquartile range (IQR)129.3340203

Descriptive statistics

Standard deviation308.9427908
Coefficient of variation (CV)0.1644465395
Kurtosis14.40350028
Mean1878.682226
Median Absolute Deviation (MAD)39.783561
Skewness-3.405716779
Sum195382.9515
Variance95445.648
MonotonicityNot monotonic
2025-11-14T18:32:11.176291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1934.1593211
 
1.0%
2039.5943681
 
1.0%
2010.4406881
 
1.0%
01
 
1.0%
1996.7055611
 
1.0%
2018.0096761
 
1.0%
2046.5934891
 
1.0%
1942.5666671
 
1.0%
1941.9292681
 
1.0%
1904.3343961
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
900.33530421
1.0%
1008.4724261
1.0%
1047.1398391
1.0%
1113.6015721
1.0%
ValueCountFrequency (%)
2046.5934891
1.0%
2044.1531361
1.0%
2042.8581781
1.0%
2041.731721
1.0%
2041.1816071
1.0%

pressure_var5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60766.29881
Minimum0
Maximum340361.9835
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:11.258861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7335.112413
Q117464.68719
median44176.53921
Q384536.46683
95-th percentile164600.3486
Maximum340361.9835
Range340361.9835
Interquartile range (IQR)67071.77964

Descriptive statistics

Standard deviation57273.91562
Coefficient of variation (CV)0.9425276302
Kurtosis5.862506026
Mean60766.29881
Median Absolute Deviation (MAD)31839.19133
Skewness1.979507903
Sum6319695.077
Variance3280301410
MonotonicityNot monotonic
2025-11-14T18:32:11.392311image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80445.45611
 
1.0%
8919.8110921
 
1.0%
29695.882621
 
1.0%
01
 
1.0%
48037.699081
 
1.0%
40776.038951
 
1.0%
331.36146011
 
1.0%
123037.72741
 
1.0%
117079.0731
 
1.0%
68522.012751
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
01
1.0%
331.36146011
1.0%
3240.0743051
1.0%
5113.0402731
1.0%
5189.7250691
1.0%
ValueCountFrequency (%)
340361.98351
1.0%
266364.90191
1.0%
209540.51121
1.0%
173693.9781
1.0%
172790.92571
1.0%

total_time5
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22833.35577
Minimum215
Maximum130919
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:11.510296image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum215
5-th percentile7680.25
Q112703.75
median18195
Q330398.75
95-th percentile48312.25
Maximum130919
Range130704
Interquartile range (IQR)17695

Descriptive statistics

Standard deviation16271.72233
Coefficient of variation (CV)0.7126294748
Kurtosis17.95462687
Mean22833.35577
Median Absolute Deviation (MAD)6697.5
Skewness3.19132063
Sum2374669
Variance264768947.6
MonotonicityNot monotonic
2025-11-14T18:32:11.611512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
254951
 
1.0%
190401
 
1.0%
87801
 
1.0%
2151
 
1.0%
62201
 
1.0%
158051
 
1.0%
120151
 
1.0%
43501
 
1.0%
241051
 
1.0%
197351
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
2151
1.0%
43501
1.0%
55401
1.0%
62201
1.0%
66501
1.0%
ValueCountFrequency (%)
1309191
1.0%
583151
1.0%
540901
1.0%
516651
1.0%
487801
1.0%

air_time6
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10322.93269
Minimum480
Maximum94270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:11.710196image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum480
5-th percentile1644.25
Q13291.25
median5900
Q312991.25
95-th percentile30572.25
Maximum94270
Range93790
Interquartile range (IQR)9700

Descriptive statistics

Standard deviation13655.14661
Coefficient of variation (CV)1.322797214
Kurtosis19.94678986
Mean10322.93269
Median Absolute Deviation (MAD)3265
Skewness3.934183064
Sum1073585
Variance186463028.9
MonotonicityNot monotonic
2025-11-14T18:32:11.814281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33552
 
1.9%
40401
 
1.0%
144651
 
1.0%
241051
 
1.0%
15651
 
1.0%
77851
 
1.0%
942701
 
1.0%
97951
 
1.0%
151251
 
1.0%
104201
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
4801
1.0%
10551
1.0%
14151
1.0%
15501
1.0%
15651
1.0%
ValueCountFrequency (%)
942701
1.0%
821401
1.0%
342951
1.0%
326001
1.0%
323801
1.0%

disp_index6
Real number (ℝ)

Distinct93
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.407403846 × 10-6
Minimum2.26 × 10-6
Maximum2.22 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:11.914537image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.26 × 10-6
5-th percentile3.1505 × 10-6
Q14.1 × 10-6
median4.815 × 10-6
Q36.2175 × 10-6
95-th percentile8.83 × 10-6
Maximum2.22 × 10-5
Range1.994 × 10-5
Interquartile range (IQR)2.1175 × 10-6

Descriptive statistics

Standard deviation2.384651974 × 10-6
Coefficient of variation (CV)0.4409975734
Kurtosis0
Mean5.407403846 × 10-6
Median Absolute Deviation (MAD)1 × 10-6
Skewness0
Sum0.00056237
Variance5.686565039 × 10-12
MonotonicityNot monotonic
2025-11-14T18:32:12.162934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.29 × 10-62
 
1.9%
7.42 × 10-62
 
1.9%
2.74 × 10-62
 
1.9%
4.73 × 10-62
 
1.9%
4.63 × 10-62
 
1.9%
5.13 × 10-62
 
1.9%
3.56 × 10-62
 
1.9%
3.98 × 10-62
 
1.9%
4.7 × 10-62
 
1.9%
5.18 × 10-62
 
1.9%
Other values (83)84
80.8%
ValueCountFrequency (%)
2.26 × 10-61
1.0%
2.69 × 10-61
1.0%
2.74 × 10-62
1.9%
3.08 × 10-61
1.0%
3.14 × 10-61
1.0%
ValueCountFrequency (%)
2.22 × 10-51
1.0%
1.1 × 10-51
1.0%
9.95 × 10-61
1.0%
9.64 × 10-61
1.0%
9.12 × 10-61
1.0%

gmrt_in_air6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.6067446
Minimum44.61220814
Maximum1026.097325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:12.267909image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum44.61220814
5-th percentile70.93069906
Q1132.1038864
median193.0295127
Q3283.784925
95-th percentile408.8569962
Maximum1026.097325
Range981.4851169
Interquartile range (IQR)151.6810386

Descriptive statistics

Standard deviation134.1384897
Coefficient of variation (CV)0.5998857053
Kurtosis11.49587311
Mean223.6067446
Median Absolute Deviation (MAD)77.8599843
Skewness2.384920472
Sum23255.10144
Variance17993.13442
MonotonicityNot monotonic
2025-11-14T18:32:12.369400image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180.95605841
 
1.0%
323.58308711
 
1.0%
185.55145861
 
1.0%
273.2299451
 
1.0%
234.56320831
 
1.0%
149.89387511
 
1.0%
102.28039951
 
1.0%
399.20143591
 
1.0%
358.49238521
 
1.0%
156.88783711
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
44.612208141
1.0%
49.947582341
1.0%
51.296568411
1.0%
56.135154821
1.0%
56.15874621
1.0%
ValueCountFrequency (%)
1026.0973251
1.0%
579.12392091
1.0%
503.32109911
1.0%
472.37117811
1.0%
440.83054051
1.0%

gmrt_on_paper6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.5131538
Minimum29.25113626
Maximum676.6206421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:12.470387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29.25113626
5-th percentile60.35229012
Q1103.8997026
median193.5660505
Q3254.4899722
95-th percentile354.2581443
Maximum676.6206421
Range647.3695058
Interquartile range (IQR)150.5902697

Descriptive statistics

Standard deviation104.4971244
Coefficient of variation (CV)0.542805114
Kurtosis3.068161328
Mean192.5131538
Median Absolute Deviation (MAD)76.8412112
Skewness1.021256444
Sum20021.368
Variance10919.64901
MonotonicityNot monotonic
2025-11-14T18:32:12.551105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166.16138691
 
1.0%
205.17203971
 
1.0%
242.65544631
 
1.0%
63.582240771
 
1.0%
267.21737211
 
1.0%
93.808658381
 
1.0%
84.435036081
 
1.0%
127.79093651
 
1.0%
195.21844481
 
1.0%
65.846795531
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
29.251136261
1.0%
29.970566841
1.0%
37.978655441
1.0%
43.248764341
1.0%
43.517395771
1.0%
ValueCountFrequency (%)
676.62064211
1.0%
391.63344991
1.0%
385.29966591
1.0%
383.50182831
1.0%
370.49447181
1.0%

max_x_extension6
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2097.173077
Minimum736
Maximum13450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:12.679703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum736
5-th percentile1082.75
Q11385.25
median1708
Q32206.25
95-th percentile4869.75
Maximum13450
Range12714
Interquartile range (IQR)821

Descriptive statistics

Standard deviation1601.835406
Coefficient of variation (CV)0.7638069666
Kurtosis26.37177969
Mean2097.173077
Median Absolute Deviation (MAD)399.5
Skewness4.535311992
Sum218106
Variance2565876.669
MonotonicityNot monotonic
2025-11-14T18:32:12.807017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21112
 
1.9%
25791
 
1.0%
16141
 
1.0%
77521
 
1.0%
13931
 
1.0%
22191
 
1.0%
49051
 
1.0%
10871
 
1.0%
35201
 
1.0%
13701
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
7361
1.0%
8661
1.0%
8691
1.0%
9671
1.0%
10441
1.0%
ValueCountFrequency (%)
134501
1.0%
77521
1.0%
75771
1.0%
52821
1.0%
49281
1.0%

max_y_extension6
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5009.221154
Minimum1220
Maximum15562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:12.904077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1220
5-th percentile2765.15
Q13636.5
median4310
Q35224
95-th percentile11796.5
Maximum15562
Range14342
Interquartile range (IQR)1587.5

Descriptive statistics

Standard deviation2558.344663
Coefficient of variation (CV)0.5107270342
Kurtosis6.115712565
Mean5009.221154
Median Absolute Deviation (MAD)840.5
Skewness2.365031065
Sum520959
Variance6545127.417
MonotonicityNot monotonic
2025-11-14T18:32:13.008978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52242
 
1.9%
40181
 
1.0%
34181
 
1.0%
54351
 
1.0%
99691
 
1.0%
32801
 
1.0%
51181
 
1.0%
122421
 
1.0%
26781
 
1.0%
150401
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
12201
1.0%
21661
1.0%
22491
1.0%
24771
1.0%
26781
1.0%
ValueCountFrequency (%)
155621
1.0%
150401
1.0%
134831
1.0%
126021
1.0%
122421
1.0%

mean_acc_in_air6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6940478647
Minimum0.122394945
Maximum5.392034428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:13.100303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.122394945
5-th percentile0.19037598
Q10.299964693
median0.4951425345
Q30.82557403
95-th percentile1.580567231
Maximum5.392034428
Range5.269639483
Interquartile range (IQR)0.525609337

Descriptive statistics

Standard deviation0.6847631009
Coefficient of variation (CV)0.9866223005
Kurtosis22.11418758
Mean0.6940478647
Median Absolute Deviation (MAD)0.2439910015
Skewness3.8930409
Sum72.18097792
Variance0.4689005043
MonotonicityNot monotonic
2025-11-14T18:32:13.204540image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3211912161
 
1.0%
1.5222723921
 
1.0%
0.6957735031
 
1.0%
1.4434378491
 
1.0%
0.2749591981
 
1.0%
0.3386923991
 
1.0%
0.3979834091
 
1.0%
1.8316515251
 
1.0%
1.5067409771
 
1.0%
0.2515717451
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.1223949451
1.0%
0.1565563431
1.0%
0.1601202141
1.0%
0.1826339561
1.0%
0.1847604161
1.0%
ValueCountFrequency (%)
5.3920344281
1.0%
3.1464845481
1.0%
2.2619246451
1.0%
1.9556151991
1.0%
1.8316515251
1.0%

mean_acc_on_paper6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1528880692
Minimum0.065000075
Maximum0.293867465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:13.311291image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.065000075
5-th percentile0.0900749176
Q10.1194888888
median0.149040413
Q30.1775172123
95-th percentile0.2247142316
Maximum0.293867465
Range0.22886739
Interquartile range (IQR)0.0580283235

Descriptive statistics

Standard deviation0.04452042021
Coefficient of variation (CV)0.2911961701
Kurtosis0.6710953398
Mean0.1528880692
Median Absolute Deviation (MAD)0.029288413
Skewness0.6853263035
Sum15.9003592
Variance0.001982067816
MonotonicityNot monotonic
2025-11-14T18:32:13.398223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1979907641
 
1.0%
0.1579816141
 
1.0%
0.1050257221
 
1.0%
0.1031049181
 
1.0%
0.2035741451
 
1.0%
0.1460030111
 
1.0%
0.1344660181
 
1.0%
0.1191191321
 
1.0%
0.1227963391
 
1.0%
0.1079108071
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0650000751
1.0%
0.0688720791
1.0%
0.0823372251
1.0%
0.0885804391
1.0%
0.0899990261
1.0%
ValueCountFrequency (%)
0.2938674651
1.0%
0.2744018451
1.0%
0.2727548181
1.0%
0.2573594771
1.0%
0.2335267671
1.0%

mean_gmrt6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.0599492
Minimum39.5993593
Maximum649.0381622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:13.550027image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum39.5993593
5-th percentile71.80903567
Q1127.2323514
median212.9230431
Q3263.7165305
95-th percentile362.8321797
Maximum649.0381622
Range609.4388029
Interquartile range (IQR)136.4841791

Descriptive statistics

Standard deviation97.26895171
Coefficient of variation (CV)0.467504448
Kurtosis2.962570928
Mean208.0599492
Median Absolute Deviation (MAD)62.0177955
Skewness0.9591105155
Sum21638.23472
Variance9461.248967
MonotonicityNot monotonic
2025-11-14T18:32:13.646058image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
173.55872271
 
1.0%
264.37756341
 
1.0%
214.10345241
 
1.0%
168.40609291
 
1.0%
250.89029021
 
1.0%
121.85126671
 
1.0%
93.357717811
 
1.0%
263.49618621
 
1.0%
276.8554151
 
1.0%
111.36731631
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
39.59935931
1.0%
52.497126781
1.0%
56.59515151
1.0%
62.326165751
1.0%
69.81547631
1.0%
ValueCountFrequency (%)
649.03816221
1.0%
436.4696721
1.0%
412.65177221
1.0%
390.8900451
1.0%
372.09187811
1.0%

mean_jerk_in_air6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1237729416
Minimum0.018446684
Maximum1.064207572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:13.765661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.018446684
5-th percentile0.02322095085
Q10.04259009525
median0.0848237975
Q30.1514042797
95-th percentile0.3039316826
Maximum1.064207572
Range1.045760888
Interquartile range (IQR)0.1088141845

Descriptive statistics

Standard deviation0.1366940939
Coefficient of variation (CV)1.104393999
Kurtosis22.26448107
Mean0.1237729416
Median Absolute Deviation (MAD)0.048491201
Skewness3.899840065
Sum12.87238592
Variance0.01868527531
MonotonicityNot monotonic
2025-11-14T18:32:13.926476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0472463531
 
1.0%
0.2918072151
 
1.0%
0.1284074191
 
1.0%
0.2766637121
 
1.0%
0.0295002931
 
1.0%
0.0495774051
 
1.0%
0.063994461
 
1.0%
0.3505120191
 
1.0%
0.2840798581
 
1.0%
0.0342483771
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0184466841
1.0%
0.0190761261
1.0%
0.020913831
1.0%
0.0224023151
1.0%
0.0226894171
1.0%
ValueCountFrequency (%)
1.0642075721
1.0%
0.6046244011
1.0%
0.4403756741
1.0%
0.3748990531
1.0%
0.3505120191
1.0%

mean_jerk_on_paper6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0184422051
Minimum0.007606957
Maximum0.031882129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:14.053554image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.007606957
5-th percentile0.0114916307
Q10.0156314775
median0.018755497
Q30.0211596095
95-th percentile0.02584973695
Maximum0.031882129
Range0.024275172
Interquartile range (IQR)0.005528132

Descriptive statistics

Standard deviation0.004586629592
Coefficient of variation (CV)0.2487028839
Kurtosis0.2578729574
Mean0.0184422051
Median Absolute Deviation (MAD)0.0028492575
Skewness0.2721029703
Sum1.91798933
Variance2.103717102 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:14.182223image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0212716281
 
1.0%
0.0202864721
 
1.0%
0.0134728911
 
1.0%
0.0122660151
 
1.0%
0.0291759121
 
1.0%
0.0150302681
 
1.0%
0.0163569721
 
1.0%
0.0157350591
 
1.0%
0.0167254211
 
1.0%
0.0124763631
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0076069571
1.0%
0.0090973821
1.0%
0.0094328841
1.0%
0.0107135331
1.0%
0.0108905361
1.0%
ValueCountFrequency (%)
0.0318821291
1.0%
0.0293486361
1.0%
0.0291759121
1.0%
0.0285350291
1.0%
0.0271371841
1.0%

mean_speed_in_air6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.127109834
Minimum0.806716365
Maximum17.42312738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:14.267119image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.806716365
5-th percentile1.372929308
Q12.537428422
median3.567034673
Q35.234285578
95-th percentile7.922064687
Maximum17.42312738
Range16.61641102
Interquartile range (IQR)2.696857157

Descriptive statistics

Standard deviation2.444861781
Coefficient of variation (CV)0.5923907722
Kurtosis8.026354345
Mean4.127109834
Median Absolute Deviation (MAD)1.362917296
Skewness2.087867736
Sum429.2194227
Variance5.977349131
MonotonicityNot monotonic
2025-11-14T18:32:14.390200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2155652221
 
1.0%
6.2792905251
 
1.0%
3.046576971
 
1.0%
5.5649322071
 
1.0%
4.1144016161
 
1.0%
2.1443791451
 
1.0%
2.1075645921
 
1.0%
8.0108558011
 
1.0%
7.2756680061
 
1.0%
3.0698738471
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.8067163651
1.0%
0.9352472011
1.0%
1.0056804961
1.0%
1.141485081
1.0%
1.1498102831
1.0%
ValueCountFrequency (%)
17.423127381
1.0%
11.433964451
1.0%
9.9311665881
1.0%
9.9235551241
1.0%
8.1479066171
1.0%

mean_speed_on_paper6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.161751808
Minimum0.381507014
Maximum12.03188565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:14.679877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.381507014
5-th percentile0.7439190276
Q11.585082582
median3.062015866
Q34.278659214
95-th percentile6.01597732
Maximum12.03188565
Range11.65037864
Interquartile range (IQR)2.693576631

Descriptive statistics

Standard deviation1.890861853
Coefficient of variation (CV)0.5980424677
Kurtosis3.3052094
Mean3.161751808
Median Absolute Deviation (MAD)1.318023649
Skewness1.137057772
Sum328.822188
Variance3.575358547
MonotonicityNot monotonic
2025-11-14T18:32:14.797932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3609840681
 
1.0%
3.664637811
 
1.0%
4.0609291071
 
1.0%
0.7416228541
 
1.0%
4.1801533071
 
1.0%
1.7154076331
 
1.0%
1.2188147981
 
1.0%
2.1455098371
 
1.0%
2.4770624531
 
1.0%
1.0444452921
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.3815070141
1.0%
0.4312186231
1.0%
0.4922855261
1.0%
0.5201346991
1.0%
0.6436435171
1.0%
ValueCountFrequency (%)
12.031885651
1.0%
6.9773321271
1.0%
6.6164928331
1.0%
6.6001499591
1.0%
6.2588029911
1.0%

num_of_pendown6
Real number (ℝ)

Distinct14
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.163461538
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:14.854504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q13
median4
Q36
95-th percentile9.85
Maximum27
Range26
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.385034387
Coefficient of variation (CV)0.65557463
Kurtosis18.75545822
Mean5.163461538
Median Absolute Deviation (MAD)1
Skewness3.741400878
Sum537
Variance11.4584578
MonotonicityNot monotonic
2025-11-14T18:32:14.916753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
333
31.7%
421
20.2%
518
17.3%
614
13.5%
77
 
6.7%
83
 
2.9%
91
 
1.0%
141
 
1.0%
101
 
1.0%
11
 
1.0%
Other values (4)4
 
3.8%
ValueCountFrequency (%)
11
 
1.0%
333
31.7%
421
20.2%
518
17.3%
614
13.5%
ValueCountFrequency (%)
271
1.0%
181
1.0%
161
1.0%
141
1.0%
121
1.0%

paper_time6
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4194.038462
Minimum1005
Maximum24735
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:15.000635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1005
5-th percentile1433.75
Q12185
median2765
Q34566.25
95-th percentile12848.5
Maximum24735
Range23730
Interquartile range (IQR)2381.25

Descriptive statistics

Standard deviation3924.196107
Coefficient of variation (CV)0.935660496
Kurtosis9.008350246
Mean4194.038462
Median Absolute Deviation (MAD)837.5
Skewness2.784400613
Sum436180
Variance15399315.09
MonotonicityNot monotonic
2025-11-14T18:32:15.096114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30552
 
1.9%
29252
 
1.9%
27652
 
1.9%
24402
 
1.9%
24652
 
1.9%
22552
 
1.9%
36001
 
1.0%
70201
 
1.0%
13951
 
1.0%
50551
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
10051
1.0%
11701
1.0%
12251
1.0%
13901
1.0%
13951
1.0%
ValueCountFrequency (%)
247351
1.0%
187351
1.0%
156151
1.0%
144351
1.0%
141601
1.0%

pressure_mean6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1647.469939
Minimum567.1551363
Maximum2006.804154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:15.178134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum567.1551363
5-th percentile875.2334697
Q11523.862925
median1759.71801
Q31885.381769
95-th percentile1973.750452
Maximum2006.804154
Range1439.649018
Interquartile range (IQR)361.518844

Descriptive statistics

Standard deviation343.0316612
Coefficient of variation (CV)0.2082172506
Kurtosis1.413894724
Mean1647.469939
Median Absolute Deviation (MAD)152.841871
Skewness-1.468862342
Sum171336.8737
Variance117670.7206
MonotonicityNot monotonic
2025-11-14T18:32:15.286420image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1515.6797551
 
1.0%
1929.7943621
 
1.0%
1858.9575761
 
1.0%
1635.7770661
 
1.0%
1658.2759861
 
1.0%
2006.8041541
 
1.0%
1803.8033151
 
1.0%
1756.3180721
 
1.0%
1745.7205191
 
1.0%
1951.6661481
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
567.15513631
1.0%
683.23539521
1.0%
715.90109891
1.0%
722.29107371
1.0%
869.68008471
1.0%
ValueCountFrequency (%)
2006.8041541
1.0%
2003.7792091
1.0%
1998.9553071
1.0%
1991.7681
1.0%
1984.6345781
1.0%

pressure_var6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156854.4138
Minimum35341.16671
Maximum367176.7159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:15.425889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum35341.16671
5-th percentile50804.11475
Q1101318.628
median148967.8532
Q3196107.9237
95-th percentile285663.8401
Maximum367176.7159
Range331835.5492
Interquartile range (IQR)94789.2957

Descriptive statistics

Standard deviation72946.97709
Coefficient of variation (CV)0.4650616794
Kurtosis0.1601779062
Mean156854.4138
Median Absolute Deviation (MAD)48007.3847
Skewness0.6573490628
Sum16312859.03
Variance5321261466
MonotonicityNot monotonic
2025-11-14T18:32:15.563987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
163155.57471
 
1.0%
95269.105311
 
1.0%
110195.79011
 
1.0%
192733.23731
 
1.0%
367176.71591
 
1.0%
45626.741071
 
1.0%
215324.00681
 
1.0%
263497.47471
 
1.0%
277048.68011
 
1.0%
103494.76091
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
35341.166711
1.0%
39658.53991
1.0%
45626.741071
1.0%
45732.347761
1.0%
48212.047211
1.0%
ValueCountFrequency (%)
367176.71591
1.0%
346785.90721
1.0%
337590.10771
1.0%
315781.99511
1.0%
303671.86451
1.0%

total_time6
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14516.97115
Minimum2445
Maximum119005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:15.652040image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2445
5-th percentile3526
Q15428.75
median8495
Q318328.75
95-th percentile36939
Maximum119005
Range116560
Interquartile range (IQR)12900

Descriptive statistics

Standard deviation16573.29848
Coefficient of variation (CV)1.141649887
Kurtosis17.98848522
Mean14516.97115
Median Absolute Deviation (MAD)3827.5
Skewness3.63217425
Sum1509765
Variance274674222.5
MonotonicityNot monotonic
2025-11-14T18:32:15.739846image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81151
 
1.0%
107501
 
1.0%
50901
 
1.0%
311251
 
1.0%
29601
 
1.0%
128401
 
1.0%
1190051
 
1.0%
118701
 
1.0%
193651
 
1.0%
232701
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
24451
1.0%
26351
1.0%
29601
1.0%
30401
1.0%
33601
1.0%
ValueCountFrequency (%)
1190051
1.0%
890701
1.0%
495601
1.0%
417151
1.0%
409101
1.0%

air_time7
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12340.57692
Minimum1750
Maximum295415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:15.863245image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1750
5-th percentile2528.75
Q13492.5
median6360
Q312066.25
95-th percentile28598
Maximum295415
Range293665
Interquartile range (IQR)8573.75

Descriptive statistics

Standard deviation29915.63995
Coefficient of variation (CV)2.42416867
Kurtosis79.75993902
Mean12340.57692
Median Absolute Deviation (MAD)3330
Skewness8.526431355
Sum1283420
Variance894945513.7
MonotonicityNot monotonic
2025-11-14T18:32:15.963247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30303
 
2.9%
28502
 
1.9%
91652
 
1.9%
45752
 
1.9%
53401
 
1.0%
29151
 
1.0%
28351
 
1.0%
77901
 
1.0%
106001
 
1.0%
26401
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
17501
1.0%
20801
1.0%
22701
1.0%
23201
1.0%
23601
1.0%
ValueCountFrequency (%)
2954151
1.0%
832601
1.0%
374501
1.0%
372151
1.0%
368101
1.0%

disp_index7
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.380769231 × 10-6
Minimum2.52 × 10-6
Maximum2.02 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:16.056399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.52 × 10-6
5-th percentile3.545 × 10-6
Q14.7175 × 10-6
median5.92 × 10-6
Q37.3225 × 10-6
95-th percentile1.038 × 10-5
Maximum2.02 × 10-5
Range1.768 × 10-5
Interquartile range (IQR)2.605 × 10-6

Descriptive statistics

Standard deviation2.622964192 × 10-6
Coefficient of variation (CV)0.4110733513
Kurtosis0
Mean6.380769231 × 10-6
Median Absolute Deviation (MAD)1.32 × 10-6
Skewness0
Sum0.0006636
Variance6.87994115 × 10-12
MonotonicityNot monotonic
2025-11-14T18:32:16.227382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 × 10-62
 
1.9%
5.17 × 10-62
 
1.9%
4.32 × 10-62
 
1.9%
4.49 × 10-62
 
1.9%
5.91 × 10-62
 
1.9%
1.05 × 10-52
 
1.9%
4.96 × 10-62
 
1.9%
5 × 10-62
 
1.9%
6.76 × 10-62
 
1.9%
5.35 × 10-61
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
2.52 × 10-61
1.0%
3.29 × 10-61
1.0%
3.33 × 10-61
1.0%
3.38 × 10-61
1.0%
3.46 × 10-61
1.0%
ValueCountFrequency (%)
2.02 × 10-51
1.0%
1.72 × 10-51
1.0%
1.33 × 10-51
1.0%
1.15 × 10-51
1.0%
1.05 × 10-52
1.9%

gmrt_in_air7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257.3020227
Minimum79.59685989
Maximum730.9364435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:16.440441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum79.59685989
5-th percentile122.2464355
Q1170.7402781
median241.0721894
Q3323.4479657
95-th percentile460.5971278
Maximum730.9364435
Range651.3395836
Interquartile range (IQR)152.7076876

Descriptive statistics

Standard deviation113.0754043
Coefficient of variation (CV)0.4394656641
Kurtosis2.43823346
Mean257.3020227
Median Absolute Deviation (MAD)73.59004475
Skewness1.175404713
Sum26759.41036
Variance12786.04705
MonotonicityNot monotonic
2025-11-14T18:32:16.555332image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
237.12506141
 
1.0%
186.88110191
 
1.0%
195.64811681
 
1.0%
255.44326871
 
1.0%
462.85680681
 
1.0%
184.17348951
 
1.0%
345.02174861
 
1.0%
420.38414851
 
1.0%
276.60898441
 
1.0%
324.51927671
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
79.596859891
1.0%
85.390585121
1.0%
98.473483261
1.0%
100.09682731
1.0%
117.91914711
1.0%
ValueCountFrequency (%)
730.93644351
1.0%
600.05633921
1.0%
509.815781
1.0%
503.44562221
1.0%
463.66390041
1.0%

gmrt_on_paper7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.8969603
Minimum44.48256772
Maximum894.436629
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:16.638093image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum44.48256772
5-th percentile86.29818938
Q1187.8433207
median311.5058666
Q3428.659771
95-th percentile626.6373183
Maximum894.436629
Range849.9540613
Interquartile range (IQR)240.8164503

Descriptive statistics

Standard deviation172.5812765
Coefficient of variation (CV)0.526327772
Kurtosis-0.04171231753
Mean327.8969603
Median Absolute Deviation (MAD)123.8866445
Skewness0.5589424824
Sum34101.28387
Variance29784.29701
MonotonicityNot monotonic
2025-11-14T18:32:16.742108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205.64201281
 
1.0%
497.22716141
 
1.0%
425.4798041
 
1.0%
132.7477921
 
1.0%
616.24938341
 
1.0%
137.26284511
 
1.0%
389.46574281
 
1.0%
335.83470831
 
1.0%
351.31048551
 
1.0%
372.30592371
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
44.482567721
1.0%
48.518644791
1.0%
63.982691941
1.0%
64.514419851
1.0%
76.612830961
1.0%
ValueCountFrequency (%)
894.4366291
1.0%
687.85723271
1.0%
664.11570391
1.0%
642.4327021
1.0%
629.34780141
1.0%

max_x_extension7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12815.84615
Minimum11816
Maximum15359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:16.829444image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum11816
5-th percentile12117.05
Q112490
median12818.5
Q313117
95-th percentile13498.4
Maximum15359
Range3543
Interquartile range (IQR)627

Descriptive statistics

Standard deviation499.1853124
Coefficient of variation (CV)0.0389506324
Kurtosis5.430228853
Mean12815.84615
Median Absolute Deviation (MAD)321
Skewness1.146048751
Sum1332848
Variance249185.9761
MonotonicityNot monotonic
2025-11-14T18:32:16.931345image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131011
 
1.0%
131811
 
1.0%
127301
 
1.0%
132491
 
1.0%
124431
 
1.0%
123741
 
1.0%
153591
 
1.0%
122711
 
1.0%
132381
 
1.0%
127611
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
118161
1.0%
118271
1.0%
118821
1.0%
119741
1.0%
119951
1.0%
ValueCountFrequency (%)
153591
1.0%
138211
1.0%
137481
1.0%
137421
1.0%
135991
1.0%

max_y_extension7
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1425
Minimum511
Maximum7752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:17.016629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum511
5-th percentile730.55
Q1983.25
median1191.5
Q31494.75
95-th percentile2762.8
Maximum7752
Range7241
Interquartile range (IQR)511.5

Descriptive statistics

Standard deviation953.083957
Coefficient of variation (CV)0.668830847
Kurtosis21.14406811
Mean1425
Median Absolute Deviation (MAD)233
Skewness4.074388215
Sum148200
Variance908369.0291
MonotonicityNot monotonic
2025-11-14T18:32:17.317801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12093
 
2.9%
10952
 
1.9%
11072
 
1.9%
19021
 
1.0%
42081
 
1.0%
11021
 
1.0%
9511
 
1.0%
6081
 
1.0%
51491
 
1.0%
8221
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
5111
1.0%
6081
1.0%
6321
1.0%
6771
1.0%
6941
1.0%
ValueCountFrequency (%)
77521
1.0%
51491
1.0%
42081
1.0%
39301
1.0%
38981
1.0%

mean_acc_in_air7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.091837258
Minimum0.142903206
Maximum4.232426572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:17.406711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.142903206
5-th percentile0.2012767082
Q10.5427304415
median0.882945306
Q31.437365085
95-th percentile2.455756161
Maximum4.232426572
Range4.089523366
Interquartile range (IQR)0.894634644

Descriptive statistics

Standard deviation0.7461273435
Coefficient of variation (CV)0.6833686412
Kurtosis2.446843689
Mean1.091837258
Median Absolute Deviation (MAD)0.4104887655
Skewness1.340924413
Sum113.5510749
Variance0.5567060127
MonotonicityNot monotonic
2025-11-14T18:32:17.494476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2623312991
 
1.0%
0.5883667081
 
1.0%
0.6504867821
 
1.0%
0.8844610021
 
1.0%
3.0365787081
 
1.0%
0.8645995221
 
1.0%
2.175848291
 
1.0%
2.4568670461
 
1.0%
1.2395076981
 
1.0%
1.9902678881
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.1429032061
1.0%
0.1778469451
1.0%
0.1792160171
1.0%
0.1796999231
1.0%
0.190032641
1.0%
ValueCountFrequency (%)
4.2324265721
1.0%
3.0628735411
1.0%
3.0365787081
1.0%
2.7476362861
1.0%
2.5357807171
1.0%

mean_acc_on_paper7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1615958404
Minimum0.098016798
Maximum0.410386204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:17.636111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.098016798
5-th percentile0.1123299149
Q10.128664553
median0.149869648
Q30.1820839215
95-th percentile0.2417885499
Maximum0.410386204
Range0.312369406
Interquartile range (IQR)0.0534193685

Descriptive statistics

Standard deviation0.04626696486
Coefficient of variation (CV)0.2863128454
Kurtosis7.398946125
Mean0.1615958404
Median Absolute Deviation (MAD)0.0240072185
Skewness2.029250411
Sum16.8059674
Variance0.002140632038
MonotonicityNot monotonic
2025-11-14T18:32:17.725864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1622679991
 
1.0%
0.1802334341
 
1.0%
0.1420657271
 
1.0%
0.1314810861
 
1.0%
0.2356299821
 
1.0%
0.1145334381
 
1.0%
0.1658538581
 
1.0%
0.1248098751
 
1.0%
0.1471251781
 
1.0%
0.1621809981
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0980167981
1.0%
0.0988429871
1.0%
0.1040727291
1.0%
0.1071376951
1.0%
0.110453491
1.0%
ValueCountFrequency (%)
0.4103862041
1.0%
0.2888469731
1.0%
0.271081371
1.0%
0.2544022641
1.0%
0.2447232251
1.0%

mean_gmrt7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.5994915
Minimum73.49606402
Maximum613.5340315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:17.819382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum73.49606402
5-th percentile102.010126
Q1190.0760435
median272.7351151
Q3377.9405389
95-th percentile522.2090002
Maximum613.5340315
Range540.0379675
Interquartile range (IQR)187.8644954

Descriptive statistics

Standard deviation129.7694386
Coefficient of variation (CV)0.4435053456
Kurtosis-0.4446990556
Mean292.5994915
Median Absolute Deviation (MAD)90.26593565
Skewness0.4742340035
Sum30430.34711
Variance16840.10719
MonotonicityNot monotonic
2025-11-14T18:32:17.919356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
221.38353711
 
1.0%
342.05413161
 
1.0%
310.56396041
 
1.0%
194.09553041
 
1.0%
539.55309511
 
1.0%
160.71816731
 
1.0%
367.24374571
 
1.0%
378.10942841
 
1.0%
313.9597351
 
1.0%
348.41260021
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
73.496064021
1.0%
88.354829141
1.0%
88.888272331
1.0%
91.216783481
1.0%
91.752110891
1.0%
ValueCountFrequency (%)
613.53403151
1.0%
594.26514221
1.0%
586.96574191
1.0%
578.34743431
1.0%
539.55309511
1.0%

mean_jerk_in_air7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2022176628
Minimum0.017634987
Maximum0.837908474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:18.040297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.017634987
5-th percentile0.02505274455
Q10.09492503
median0.1605273385
Q30.271369459
95-th percentile0.4710162258
Maximum0.837908474
Range0.820273487
Interquartile range (IQR)0.176444429

Descriptive statistics

Standard deviation0.1481344723
Coefficient of variation (CV)0.732549621
Kurtosis2.690371609
Mean0.2022176628
Median Absolute Deviation (MAD)0.079241412
Skewness1.380984632
Sum21.03063694
Variance0.02194382187
MonotonicityNot monotonic
2025-11-14T18:32:18.128601image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0413237451
 
1.0%
0.1028009771
 
1.0%
0.1124960321
 
1.0%
0.1583350731
 
1.0%
0.5931747081
 
1.0%
0.1609166861
 
1.0%
0.4150293441
 
1.0%
0.4650517781
 
1.0%
0.2187909331
 
1.0%
0.3821638041
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.0176349871
1.0%
0.0194907831
1.0%
0.0199315541
1.0%
0.0202326911
1.0%
0.0222892561
1.0%
ValueCountFrequency (%)
0.8379084741
1.0%
0.5931747081
1.0%
0.5927653651
1.0%
0.5291194071
1.0%
0.488579531
1.0%

mean_jerk_on_paper7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01861253361
Minimum0.01271745
Maximum0.0373252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:18.216092image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01271745
5-th percentile0.01369401665
Q10.015528917
median0.017579731
Q30.0210907585
95-th percentile0.0258576945
Maximum0.0373252
Range0.02460775
Interquartile range (IQR)0.0055618415

Descriptive statistics

Standard deviation0.004023682869
Coefficient of variation (CV)0.2161813622
Kurtosis3.258026216
Mean0.01861253361
Median Absolute Deviation (MAD)0.002413055
Skewness1.294322526
Sum1.935703495
Variance1.619002383 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:18.347403image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0187160541
 
1.0%
0.0217861631
 
1.0%
0.0188360411
 
1.0%
0.017274261
 
1.0%
0.0225822151
 
1.0%
0.012717451
 
1.0%
0.0207670121
 
1.0%
0.0172891791
 
1.0%
0.0205300821
 
1.0%
0.0228664281
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.012717451
1.0%
0.0128220391
1.0%
0.0129895791
1.0%
0.0130655881
1.0%
0.0133730151
1.0%
ValueCountFrequency (%)
0.03732521
1.0%
0.0264952651
1.0%
0.0263345571
1.0%
0.0261059761
1.0%
0.0260326861
1.0%

mean_speed_in_air7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.065513212
Minimum1.552181604
Maximum12.80865531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:18.437807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.552181604
5-th percentile2.489041702
Q13.409045784
median4.635442476
Q36.23367392
95-th percentile8.787333188
Maximum12.80865531
Range11.25647371
Interquartile range (IQR)2.824628136

Descriptive statistics

Standard deviation2.171114385
Coefficient of variation (CV)0.4286069929
Kurtosis1.392431329
Mean5.065513212
Median Absolute Deviation (MAD)1.408931864
Skewness0.9927084511
Sum526.8133741
Variance4.713737674
MonotonicityNot monotonic
2025-11-14T18:32:18.524585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.4478112651
 
1.0%
3.8802438511
 
1.0%
3.6981550411
 
1.0%
5.480198781
 
1.0%
9.2871356061
 
1.0%
3.832398891
 
1.0%
7.2903484951
 
1.0%
8.5992554671
 
1.0%
5.3035739011
 
1.0%
6.9708992881
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
1.5521816041
1.0%
1.6662037621
1.0%
2.0756712811
1.0%
2.1279541531
1.0%
2.2523369711
1.0%
ValueCountFrequency (%)
12.808655311
1.0%
12.326340281
1.0%
10.1102631
1.0%
9.2871356061
1.0%
9.0545166021
1.0%

mean_speed_on_paper7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.408613705
Minimum0.431881238
Maximum9.352852528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:18.667635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.431881238
5-th percentile0.8457364009
Q11.877465219
median2.987952257
Q34.705863582
95-th percentile6.785334091
Maximum9.352852528
Range8.92097129
Interquartile range (IQR)2.828398364

Descriptive statistics

Standard deviation1.942036508
Coefficient of variation (CV)0.5697437948
Kurtosis-0.1673049009
Mean3.408613705
Median Absolute Deviation (MAD)1.441567058
Skewness0.601568742
Sum354.4958254
Variance3.771505797
MonotonicityNot monotonic
2025-11-14T18:32:18.755701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3583800721
 
1.0%
5.2169505431
 
1.0%
4.5836446011
 
1.0%
1.2337812261
 
1.0%
6.1012602791
 
1.0%
0.9746799321
 
1.0%
3.2567011881
 
1.0%
2.6519927711
 
1.0%
4.105462971
 
1.0%
3.7183924641
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
0.4318812381
1.0%
0.4594232281
1.0%
0.6096860021
1.0%
0.7055056191
1.0%
0.8322491571
1.0%
ValueCountFrequency (%)
9.3528525281
1.0%
8.4810414051
1.0%
7.156284081
1.0%
7.1129918191
1.0%
6.8894712361
1.0%

num_of_pendown7
Real number (ℝ)

Distinct12
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.048076923
Minimum4
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:18.823411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q14
median5
Q36
95-th percentile11.85
Maximum47
Range43
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.827871765
Coefficient of variation (CV)0.7982490677
Kurtosis51.22636104
Mean6.048076923
Median Absolute Deviation (MAD)1
Skewness6.456271389
Sum629
Variance23.30834578
MonotonicityNot monotonic
2025-11-14T18:32:18.897713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
438
36.5%
532
30.8%
617
16.3%
86
 
5.8%
122
 
1.9%
182
 
1.9%
72
 
1.9%
161
 
1.0%
471
 
1.0%
111
 
1.0%
Other values (2)2
 
1.9%
ValueCountFrequency (%)
438
36.5%
532
30.8%
617
16.3%
72
 
1.9%
86
 
5.8%
ValueCountFrequency (%)
471
1.0%
182
1.9%
161
1.0%
122
1.9%
111
1.0%

paper_time7
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4780.625
Minimum1020
Maximum23270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:18.983694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1020
5-th percentile1541.5
Q12347.5
median3222.5
Q35110
95-th percentile13966.25
Maximum23270
Range22250
Interquartile range (IQR)2762.5

Descriptive statistics

Standard deviation4412.705491
Coefficient of variation (CV)0.9230394543
Kurtosis7.123470324
Mean4780.625
Median Absolute Deviation (MAD)1235
Skewness2.616830401
Sum497185
Variance19471969.75
MonotonicityNot monotonic
2025-11-14T18:32:19.073548image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35852
 
1.9%
22402
 
1.9%
23702
 
1.9%
42902
 
1.9%
24452
 
1.9%
24001
 
1.0%
24701
 
1.0%
70001
 
1.0%
14401
 
1.0%
53051
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
10201
1.0%
13851
1.0%
14401
1.0%
15101
1.0%
15151
1.0%
ValueCountFrequency (%)
232701
1.0%
228201
1.0%
197851
1.0%
192051
1.0%
189001
1.0%

pressure_mean7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1650.284358
Minimum682.8093146
Maximum1996.938596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:19.168020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum682.8093146
5-th percentile975.2044443
Q11502.932604
median1777.507685
Q31875.650045
95-th percentile1953.886908
Maximum1996.938596
Range1314.129281
Interquartile range (IQR)372.7174412

Descriptive statistics

Standard deviation326.5936177
Coefficient of variation (CV)0.19790142
Kurtosis0.9981152657
Mean1650.284358
Median Absolute Deviation (MAD)130.7333715
Skewness-1.352527837
Sum171629.5732
Variance106663.3911
MonotonicityNot monotonic
2025-11-14T18:32:19.303868image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1661.9299721
 
1.0%
1942.6760931
 
1.0%
1815.6477731
 
1.0%
1600.4071431
 
1.0%
1790.93751
 
1.0%
1692.1932141
 
1.0%
1996.9385961
 
1.0%
1932.8132781
 
1.0%
1788.6324241
 
1.0%
1498.0347651
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
682.80931461
1.0%
687.14589241
1.0%
751.07657661
1.0%
821.82044491
1.0%
948.37547171
1.0%
ValueCountFrequency (%)
1996.9385961
1.0%
1996.4152541
1.0%
1993.0558041
1.0%
1978.2254581
1.0%
1971.7849061
1.0%

pressure_var7
Real number (ℝ)

Unique 

Distinct104
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164703.2876
Minimum43211.07898
Maximum518928.4351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:19.394897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum43211.07898
5-th percentile69871.46314
Q1114217.9701
median154585.745
Q3200917.8577
95-th percentile267194.5319
Maximum518928.4351
Range475717.3561
Interquartile range (IQR)86699.88765

Descriptive statistics

Standard deviation73525.08323
Coefficient of variation (CV)0.4464093237
Kurtosis4.608114439
Mean164703.2876
Median Absolute Deviation (MAD)44574.6588
Skewness1.43664084
Sum17129141.91
Variance5405937865
MonotonicityNot monotonic
2025-11-14T18:32:19.514263image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
152461.61321
 
1.0%
88673.591741
 
1.0%
172495.23221
 
1.0%
149732.77141
 
1.0%
161239.011
 
1.0%
247817.0551
 
1.0%
44592.500621
 
1.0%
115493.25561
 
1.0%
226252.57281
 
1.0%
155390.36891
 
1.0%
Other values (94)94
90.4%
ValueCountFrequency (%)
43211.078981
1.0%
44592.500621
1.0%
48220.512711
1.0%
49443.418761
1.0%
66234.009071
1.0%
ValueCountFrequency (%)
518928.43511
1.0%
367276.73361
1.0%
344933.09321
1.0%
337970.29361
1.0%
292299.09431
1.0%

total_time7
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17121.20192
Minimum3485
Maximum299100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:19.762740image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3485
5-th percentile4309.75
Q16475
median9682.5
Q316955
95-th percentile41588
Maximum299100
Range295615
Interquartile range (IQR)10480

Descriptive statistics

Standard deviation31225.37184
Coefficient of variation (CV)1.823783867
Kurtosis66.09485445
Mean17121.20192
Median Absolute Deviation (MAD)4360
Skewness7.553591161
Sum1780605
Variance975023846.8
MonotonicityNot monotonic
2025-11-14T18:32:19.883190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124252
 
1.9%
106951
 
1.0%
43001
 
1.0%
75551
 
1.0%
250151
 
1.0%
42751
 
1.0%
130951
 
1.0%
128801
 
1.0%
50501
 
1.0%
93701
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
34851
1.0%
36451
1.0%
37801
1.0%
38451
1.0%
42751
1.0%
ValueCountFrequency (%)
2991001
1.0%
1060801
1.0%
566551
1.0%
508101
1.0%
448351
1.0%

air_time8
Real number (ℝ)

Distinct92
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5283.75
Minimum190
Maximum63780
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:19.980436image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum190
5-th percentile380
Q1720
median1657.5
Q36502.5
95-th percentile21068.25
Maximum63780
Range63590
Interquartile range (IQR)5782.5

Descriptive statistics

Standard deviation8939.622984
Coefficient of variation (CV)1.691908774
Kurtosis20.07916898
Mean5283.75
Median Absolute Deviation (MAD)1237.5
Skewness3.932225776
Sum549510
Variance79916859.1
MonotonicityNot monotonic
2025-11-14T18:32:20.057341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9102
 
1.9%
8652
 
1.9%
3852
 
1.9%
5852
 
1.9%
3802
 
1.9%
5802
 
1.9%
5302
 
1.9%
4202
 
1.9%
16152
 
1.9%
11352
 
1.9%
Other values (82)84
80.8%
ValueCountFrequency (%)
1901
1.0%
2401
1.0%
2601
1.0%
3251
1.0%
3451
1.0%
ValueCountFrequency (%)
637801
1.0%
422951
1.0%
312851
1.0%
236901
1.0%
221101
1.0%

disp_index8
Real number (ℝ)

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.554711538 × 10-6
Minimum2.79 × 10-6
Maximum2.81 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:20.145716image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.79 × 10-6
5-th percentile3.528 × 10-6
Q15.5075 × 10-6
median6.855 × 10-6
Q38.47 × 10-6
95-th percentile1.421 × 10-5
Maximum2.81 × 10-5
Range2.531 × 10-5
Interquartile range (IQR)2.9625 × 10-6

Descriptive statistics

Standard deviation3.679121085 × 10-6
Coefficient of variation (CV)0.486996898
Kurtosis9.855650943
Mean7.554711538 × 10-6
Median Absolute Deviation (MAD)1.495 × 10-6
Skewness2.53608244
Sum0.00078569
Variance1.353593195 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:20.244795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.13 × 10-62
 
1.9%
4.93 × 10-62
 
1.9%
6.56 × 10-62
 
1.9%
4.7 × 10-62
 
1.9%
7 × 10-62
 
1.9%
6.34 × 10-62
 
1.9%
7.3 × 10-62
 
1.9%
3.23 × 10-62
 
1.9%
7.07 × 10-62
 
1.9%
6.9 × 10-62
 
1.9%
Other values (84)84
80.8%
ValueCountFrequency (%)
2.79 × 10-61
1.0%
3.23 × 10-62
1.9%
3.34 × 10-61
1.0%
3.4 × 10-61
1.0%
3.51 × 10-61
1.0%
ValueCountFrequency (%)
2.81 × 10-51
1.0%
1.89 × 10-51
1.0%
1.81 × 10-51
1.0%
1.73 × 10-51
1.0%
1.6 × 10-51
1.0%

gmrt_in_air8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.6796823
Minimum42.09564195
Maximum1343.063582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:20.331702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum42.09564195
5-th percentile66.33646037
Q1130.3733174
median193.2028767
Q3365.7490342
95-th percentile747.6537318
Maximum1343.063582
Range1300.96794
Interquartile range (IQR)235.3757168

Descriptive statistics

Standard deviation230.8750959
Coefficient of variation (CV)0.8435960388
Kurtosis4.727551086
Mean273.6796823
Median Absolute Deviation (MAD)80.27758465
Skewness1.99304647
Sum28462.68696
Variance53303.30989
MonotonicityNot monotonic
2025-11-14T18:32:20.421619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193.20287672
 
1.9%
116.91717591
 
1.0%
252.04500151
 
1.0%
96.496744811
 
1.0%
717.33275421
 
1.0%
172.12679771
 
1.0%
143.75755761
 
1.0%
198.88641871
 
1.0%
230.06793611
 
1.0%
280.18810371
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
42.095641951
1.0%
47.224906671
1.0%
47.627874911
1.0%
50.036051911
1.0%
50.881735121
1.0%
ValueCountFrequency (%)
1343.0635821
1.0%
995.97817131
1.0%
936.46472051
1.0%
803.62537981
1.0%
779.43760921
1.0%

gmrt_on_paper8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.9287857
Minimum21.92569601
Maximum510.187934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:20.522012image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum21.92569601
5-th percentile45.86225098
Q190.36690077
median126.0002197
Q3206.958933
95-th percentile317.5675165
Maximum510.187934
Range488.262238
Interquartile range (IQR)116.5920322

Descriptive statistics

Standard deviation90.71741192
Coefficient of variation (CV)0.5932003679
Kurtosis2.161203035
Mean152.9287857
Median Absolute Deviation (MAD)47.63308353
Skewness1.273920861
Sum15904.59371
Variance8229.648826
MonotonicityNot monotonic
2025-11-14T18:32:20.613445image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.70072632
 
1.9%
48.510563371
 
1.0%
88.58144041
 
1.0%
36.217080051
 
1.0%
237.8371151
 
1.0%
86.943550581
 
1.0%
45.726878411
 
1.0%
96.290576411
 
1.0%
97.082801841
 
1.0%
99.023691851
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
21.925696011
1.0%
36.217080051
1.0%
37.295767771
1.0%
40.909097761
1.0%
41.218728121
1.0%
ValueCountFrequency (%)
510.1879341
1.0%
462.7221881
1.0%
346.74574631
1.0%
321.07600321
1.0%
320.94270491
1.0%

max_x_extension8
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1677.105769
Minimum602
Maximum5693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:20.721988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum602
5-th percentile975.15
Q11219.5
median1495
Q31951
95-th percentile2749.45
Maximum5693
Range5091
Interquartile range (IQR)731.5

Descriptive statistics

Standard deviation737.6303955
Coefficient of variation (CV)0.4398234202
Kurtosis10.28921155
Mean1677.105769
Median Absolute Deviation (MAD)321.5
Skewness2.589699611
Sum174419
Variance544098.6004
MonotonicityNot monotonic
2025-11-14T18:32:20.842321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14502
 
1.9%
16802
 
1.9%
13852
 
1.9%
20822
 
1.9%
9752
 
1.9%
13191
 
1.0%
8361
 
1.0%
20611
 
1.0%
14961
 
1.0%
11481
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
6021
1.0%
7171
1.0%
8361
1.0%
9281
1.0%
9752
1.9%
ValueCountFrequency (%)
56931
1.0%
47461
1.0%
37491
1.0%
31101
1.0%
27881
1.0%

max_y_extension8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3432.663462
Minimum1387
Maximum9296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:20.929039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1387
5-th percentile1794.05
Q12475.25
median3338.5
Q34096.25
95-th percentile5254.85
Maximum9296
Range7909
Interquartile range (IQR)1621

Descriptive statistics

Standard deviation1267.584291
Coefficient of variation (CV)0.3692713559
Kurtosis3.959148626
Mean3432.663462
Median Absolute Deviation (MAD)819
Skewness1.305338102
Sum356997
Variance1606769.934
MonotonicityNot monotonic
2025-11-14T18:32:21.023629image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28112
 
1.9%
28861
 
1.0%
34251
 
1.0%
34831
 
1.0%
39441
 
1.0%
39111
 
1.0%
92961
 
1.0%
21461
 
1.0%
30711
 
1.0%
38841
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
13871
1.0%
14981
1.0%
16441
1.0%
16771
1.0%
17091
1.0%
ValueCountFrequency (%)
92961
1.0%
76541
1.0%
57431
1.0%
56031
1.0%
53011
1.0%

mean_acc_in_air8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4443618703
Minimum0.093240694
Maximum6.121763754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:21.112789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.093240694
5-th percentile0.1363745552
Q10.1998217845
median0.263462989
Q30.3741930618
95-th percentile1.360989306
Maximum6.121763754
Range6.02852306
Interquartile range (IQR)0.1743712773

Descriptive statistics

Standard deviation0.6786415396
Coefficient of variation (CV)1.527227211
Kurtosis48.4553459
Mean0.4443618703
Median Absolute Deviation (MAD)0.0776097365
Skewness6.250859452
Sum46.21363451
Variance0.4605543393
MonotonicityNot monotonic
2025-11-14T18:32:21.201577image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2472211612
 
1.9%
0.1545322051
 
1.0%
0.2892745511
 
1.0%
0.5661448561
 
1.0%
0.3129407511
 
1.0%
0.2092684421
 
1.0%
0.68876121
 
1.0%
1.3092073091
 
1.0%
0.264312761
 
1.0%
0.2057903261
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.0932406941
1.0%
0.1236023591
1.0%
0.1241400641
1.0%
0.1290200021
1.0%
0.134442121
1.0%
ValueCountFrequency (%)
6.1217637541
1.0%
2.3728131671
1.0%
1.8889200181
1.0%
1.6457043481
1.0%
1.3737696271
1.0%

mean_acc_on_paper8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1248464595
Minimum0.058919728
Maximum0.287305465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:21.285394image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.058919728
5-th percentile0.0744612653
Q10.096251758
median0.114828483
Q30.1456176882
95-th percentile0.209079055
Maximum0.287305465
Range0.228385737
Interquartile range (IQR)0.04936593025

Descriptive statistics

Standard deviation0.04312379888
Coefficient of variation (CV)0.3454146721
Kurtosis2.417390002
Mean0.1248464595
Median Absolute Deviation (MAD)0.0253925975
Skewness1.310403549
Sum12.98403179
Variance0.00185966203
MonotonicityNot monotonic
2025-11-14T18:32:21.373268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1068174122
 
1.9%
0.196224831
 
1.0%
0.1648996911
 
1.0%
0.0890188961
 
1.0%
0.0898528751
 
1.0%
0.1288979521
 
1.0%
0.1154483561
 
1.0%
0.1408932361
 
1.0%
0.1352025581
 
1.0%
0.135113621
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.0589197281
1.0%
0.063229171
1.0%
0.0662493751
1.0%
0.0694281471
1.0%
0.0706091951
1.0%
ValueCountFrequency (%)
0.2873054651
1.0%
0.2819355851
1.0%
0.2173475651
1.0%
0.2160331311
1.0%
0.213310261
1.0%

mean_gmrt8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213.304234
Minimum44.22181739
Maximum830.696211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:21.465615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum44.22181739
5-th percentile64.43857749
Q1114.7432553
median173.8560066
Q3262.0703869
95-th percentile522.596259
Maximum830.696211
Range786.4743936
Interquartile range (IQR)147.3271316

Descriptive statistics

Standard deviation144.3607093
Coefficient of variation (CV)0.6767831401
Kurtosis3.10190969
Mean213.304234
Median Absolute Deviation (MAD)63.5672936
Skewness1.652131572
Sum22183.64033
Variance20840.01438
MonotonicityNot monotonic
2025-11-14T18:32:21.556994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.45180152
 
1.9%
82.713869631
 
1.0%
170.31322091
 
1.0%
66.356912431
 
1.0%
477.58493461
 
1.0%
129.53517411
 
1.0%
94.742217981
 
1.0%
147.58849761
 
1.0%
163.5753691
 
1.0%
189.60589781
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
44.221817391
1.0%
44.486349881
1.0%
61.318248731
1.0%
61.600023151
1.0%
62.373426981
1.0%
ValueCountFrequency (%)
830.6962111
1.0%
621.07989861
1.0%
595.81449671
1.0%
545.33572591
1.0%
527.7717931
1.0%

mean_jerk_in_air8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07290576244
Minimum0.013460055
Maximum1.218504869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:21.640184image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.013460055
5-th percentile0.0189642379
Q10.02522557725
median0.0329461135
Q30.0563414735
95-th percentile0.2599775471
Maximum1.218504869
Range1.205044814
Interquartile range (IQR)0.03111589625

Descriptive statistics

Standard deviation0.1370034233
Coefficient of variation (CV)1.879185111
Kurtosis48.39706289
Mean0.07290576244
Median Absolute Deviation (MAD)0.0111350155
Skewness6.260123536
Sum7.582199294
Variance0.01876993799
MonotonicityNot monotonic
2025-11-14T18:32:21.739844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0308298242
 
1.9%
0.022173491
 
1.0%
0.0333158891
 
1.0%
0.1089085841
 
1.0%
0.062678181
 
1.0%
0.0274969991
 
1.0%
0.1197466931
 
1.0%
0.2560348571
 
1.0%
0.0343654211
 
1.0%
0.0278133621
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.0134600551
1.0%
0.0150325551
1.0%
0.0167914081
1.0%
0.0174577841
1.0%
0.0177032271
1.0%
ValueCountFrequency (%)
1.2185048691
1.0%
0.4632646221
1.0%
0.3730496861
1.0%
0.3158956391
1.0%
0.2671268761
1.0%

mean_jerk_on_paper8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01378232574
Minimum0.007961287
Maximum0.0221169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:21.988297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.007961287
5-th percentile0.00980777905
Q10.01176094175
median0.013657616
Q30.01590916075
95-th percentile0.01881910805
Maximum0.0221169
Range0.014155613
Interquartile range (IQR)0.004148219

Descriptive statistics

Standard deviation0.002842817941
Coefficient of variation (CV)0.2062654732
Kurtosis-0.03173845354
Mean0.01378232574
Median Absolute Deviation (MAD)0.0021360355
Skewness0.4756185635
Sum1.433361877
Variance8.081613846 × 10-6
MonotonicityNot monotonic
2025-11-14T18:32:22.071124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0123155732
 
1.9%
0.0174061651
 
1.0%
0.013620731
 
1.0%
0.0111808091
 
1.0%
0.0108038981
 
1.0%
0.0122628921
 
1.0%
0.0122381021
 
1.0%
0.0142380161
 
1.0%
0.0155682841
 
1.0%
0.0150972851
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.0079612871
1.0%
0.0087847691
1.0%
0.0092831621
1.0%
0.009434191
1.0%
0.0094720411
1.0%
ValueCountFrequency (%)
0.02211691
1.0%
0.0211300161
1.0%
0.0204009751
1.0%
0.0191852071
1.0%
0.018979951
1.0%

mean_speed_in_air8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.117517138
Minimum0.538844513
Maximum17.15932273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:22.165677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.538844513
5-th percentile0.8442253411
Q11.543878553
median2.387394384
Q33.702429042
95-th percentile7.61983195
Maximum17.15932273
Range16.62047822
Interquartile range (IQR)2.158550489

Descriptive statistics

Standard deviation2.462961058
Coefficient of variation (CV)0.7900393001
Kurtosis10.21638431
Mean3.117517138
Median Absolute Deviation (MAD)1.022190047
Skewness2.628242334
Sum324.2217824
Variance6.066177173
MonotonicityNot monotonic
2025-11-14T18:32:22.259082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.6418468472
 
1.9%
1.397754411
 
1.0%
2.937485161
 
1.0%
1.9746722641
 
1.0%
5.867441341
 
1.0%
1.5129559831
 
1.0%
2.9015239141
 
1.0%
3.5953734441
 
1.0%
3.7743270661
 
1.0%
3.684452151
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.5388445131
1.0%
0.6027577941
1.0%
0.637450781
1.0%
0.7045680791
1.0%
0.7548230641
1.0%
ValueCountFrequency (%)
17.159322731
1.0%
10.418119251
1.0%
9.61165141
1.0%
8.8671191241
1.0%
8.3446270811
1.0%

mean_speed_on_paper8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.052127223
Minimum0.281337917
Maximum10.76143968
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:22.358833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.281337917
5-th percentile0.8412799108
Q11.756008021
median2.510853744
Q34.127107827
95-th percentile6.387139366
Maximum10.76143968
Range10.48010176
Interquartile range (IQR)2.371099806

Descriptive statistics

Standard deviation1.886757835
Coefficient of variation (CV)0.618177978
Kurtosis2.298916351
Mean3.052127223
Median Absolute Deviation (MAD)1.136907583
Skewness1.279501698
Sum317.4212312
Variance3.559855129
MonotonicityNot monotonic
2025-11-14T18:32:22.440113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5108537442
 
1.9%
1.0005716041
 
1.0%
1.8355500891
 
1.0%
0.4251908951
 
1.0%
4.9291101561
 
1.0%
1.756348781
 
1.0%
0.6780743331
 
1.0%
1.964472121
 
1.0%
2.0394023691
 
1.0%
1.9820541271
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.2813379171
1.0%
0.4251908951
1.0%
0.6672100371
1.0%
0.6780743331
1.0%
0.8104688851
1.0%
ValueCountFrequency (%)
10.761439681
1.0%
9.2149268691
1.0%
7.0346341931
1.0%
6.6208667571
1.0%
6.5189565561
1.0%

num_of_pendown8
Real number (ℝ)

Distinct11
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.548076923
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:22.508847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile8.7
Maximum19
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.978498376
Coefficient of variation (CV)1.168920117
Kurtosis10.43857227
Mean2.548076923
Median Absolute Deviation (MAD)0
Skewness2.877708718
Sum265
Variance8.871452577
MonotonicityNot monotonic
2025-11-14T18:32:22.560429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
166
63.5%
29
 
8.7%
57
 
6.7%
46
 
5.8%
34
 
3.8%
64
 
3.8%
103
 
2.9%
72
 
1.9%
141
 
1.0%
91
 
1.0%
ValueCountFrequency (%)
166
63.5%
29
 
8.7%
34
 
3.8%
46
 
5.8%
57
 
6.7%
ValueCountFrequency (%)
191
 
1.0%
141
 
1.0%
103
2.9%
91
 
1.0%
72
1.9%

paper_time8
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5681.730769
Minimum1275
Maximum36620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:22.644258image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1275
5-th percentile1645.75
Q12833.75
median4065
Q37025
95-th percentile16454.5
Maximum36620
Range35345
Interquartile range (IQR)4191.25

Descriptive statistics

Standard deviation5328.07201
Coefficient of variation (CV)0.9377551008
Kurtosis14.1946682
Mean5681.730769
Median Absolute Deviation (MAD)1617.5
Skewness3.376153179
Sum590900
Variance28388351.34
MonotonicityNot monotonic
2025-11-14T18:32:22.736609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38502
 
1.9%
27502
 
1.9%
65151
 
1.0%
34151
 
1.0%
95501
 
1.0%
21051
 
1.0%
72151
 
1.0%
366201
 
1.0%
34851
 
1.0%
46401
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
12751
1.0%
13351
1.0%
13851
1.0%
14651
1.0%
15951
1.0%
ValueCountFrequency (%)
366201
1.0%
276201
1.0%
249501
1.0%
180501
1.0%
167351
1.0%

pressure_mean8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1773.844168
Minimum557.3839009
Maximum2040.506126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:22.823692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum557.3839009
5-th percentile1089.867411
Q11651.176087
median1907.526657
Q32000.801971
95-th percentile2030.347472
Maximum2040.506126
Range1483.122225
Interquartile range (IQR)349.6258845

Descriptive statistics

Standard deviation331.868157
Coefficient of variation (CV)0.1870898036
Kurtosis2.256521267
Mean1773.844168
Median Absolute Deviation (MAD)106.3867745
Skewness-1.695606519
Sum184479.7935
Variance110136.4736
MonotonicityNot monotonic
2025-11-14T18:32:22.911459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1872.7376622
 
1.9%
1831.7587011
 
1.0%
1144.4457091
 
1.0%
1455.4151831
 
1.0%
1453.8551071
 
1.0%
2036.7207211
 
1.0%
1888.2774441
 
1.0%
2019.2697271
 
1.0%
1809.7909481
 
1.0%
2000.5506731
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
557.38390091
1.0%
759.82750721
1.0%
858.23734531
1.0%
878.1916011
1.0%
1086.9753861
1.0%
ValueCountFrequency (%)
2040.5061261
1.0%
2040.0017611
1.0%
2037.7835671
1.0%
2036.7207211
1.0%
2030.6166371
1.0%

pressure_var8
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89123.69931
Minimum4278.451659
Maximum364353.1973
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:23.030616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4278.451659
5-th percentile14334.44011
Q134594.56107
median62160.12518
Q3114304.6186
95-th percentile267443.55
Maximum364353.1973
Range360074.7456
Interquartile range (IQR)79710.05751

Descriptive statistics

Standard deviation77536.31193
Coefficient of variation (CV)0.869985341
Kurtosis2.418985456
Mean89123.69931
Median Absolute Deviation (MAD)33780.1251
Skewness1.616426876
Sum9268864.728
Variance6011879668
MonotonicityNot monotonic
2025-11-14T18:32:23.122806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210090.44552
 
1.9%
95885.829251
 
1.0%
70008.758441
 
1.0%
132780.24491
 
1.0%
93505.829361
 
1.0%
11448.701631
 
1.0%
97935.683811
 
1.0%
34280.664691
 
1.0%
189566.86151
 
1.0%
54092.606041
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
4278.4516591
1.0%
5796.1073911
1.0%
10102.066721
1.0%
11448.701631
1.0%
14060.502171
1.0%
ValueCountFrequency (%)
364353.19731
1.0%
350815.55161
1.0%
306374.13581
1.0%
295421.84081
1.0%
274997.52371
1.0%

total_time8
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10965.48077
Minimum1660
Maximum88730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:23.225031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1660
5-th percentile2344.5
Q14615
median6775
Q312497.5
95-th percentile30522.75
Maximum88730
Range87070
Interquartile range (IQR)7882.5

Descriptive statistics

Standard deviation12758.16741
Coefficient of variation (CV)1.163484546
Kurtosis15.58345657
Mean10965.48077
Median Absolute Deviation (MAD)3362.5
Skewness3.479671104
Sum1140410
Variance162770835.7
MonotonicityNot monotonic
2025-11-14T18:32:23.307287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49852
 
1.9%
26752
 
1.9%
53452
 
1.9%
77151
 
1.0%
149151
 
1.0%
232501
 
1.0%
24901
 
1.0%
90651
 
1.0%
587301
 
1.0%
115201
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
16601
1.0%
19751
1.0%
19951
1.0%
21901
1.0%
21951
1.0%
ValueCountFrequency (%)
887301
1.0%
587301
1.0%
574151
1.0%
376901
1.0%
374201
1.0%

air_time9
Real number (ℝ)

Distinct93
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4689.038462
Minimum60
Maximum58015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:23.393276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile340
Q1760
median2057.5
Q35041.25
95-th percentile16044.75
Maximum58015
Range57955
Interquartile range (IQR)4281.25

Descriptive statistics

Standard deviation7506.93825
Coefficient of variation (CV)1.600954718
Kurtosis25.78721267
Mean4689.038462
Median Absolute Deviation (MAD)1500
Skewness4.324196718
Sum487660
Variance56354121.88
MonotonicityNot monotonic
2025-11-14T18:32:23.498646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3405
 
4.8%
9103
 
2.9%
7603
 
2.9%
5152
 
1.9%
602
 
1.9%
4052
 
1.9%
35301
 
1.0%
58951
 
1.0%
29651
 
1.0%
98751
 
1.0%
Other values (83)83
79.8%
ValueCountFrequency (%)
602
 
1.9%
2351
 
1.0%
3301
 
1.0%
3405
4.8%
3751
 
1.0%
ValueCountFrequency (%)
580151
1.0%
333651
1.0%
178301
1.0%
173951
1.0%
168301
1.0%

disp_index9
Real number (ℝ)

Distinct86
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.567019231 × 10-6
Minimum4.06 × 10-6
Maximum2.22 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:23.597326image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.06 × 10-6
5-th percentile5.1575 × 10-6
Q16.9775 × 10-6
median8.94 × 10-6
Q31.12 × 10-5
95-th percentile1.607 × 10-5
Maximum2.22 × 10-5
Range1.814 × 10-5
Interquartile range (IQR)4.2225 × 10-6

Descriptive statistics

Standard deviation3.400818257 × 10-6
Coefficient of variation (CV)0.3554731285
Kurtosis1.679933887
Mean9.567019231 × 10-6
Median Absolute Deviation (MAD)2.11 × 10-6
Skewness0
Sum0.00099497
Variance1.156556482 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:23.691539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.98 × 10-64
 
3.8%
9.23 × 10-62
 
1.9%
1.07 × 10-52
 
1.9%
1.09 × 10-52
 
1.9%
1.12 × 10-52
 
1.9%
5.97 × 10-62
 
1.9%
1.11 × 10-52
 
1.9%
6.23 × 10-62
 
1.9%
1.16 × 10-52
 
1.9%
1.23 × 10-52
 
1.9%
Other values (76)82
78.8%
ValueCountFrequency (%)
4.06 × 10-61
1.0%
4.62 × 10-61
1.0%
4.77 × 10-61
1.0%
4.85 × 10-62
1.9%
5.09 × 10-61
1.0%
ValueCountFrequency (%)
2.22 × 10-51
1.0%
1.93 × 10-51
1.0%
1.91 × 10-51
1.0%
1.7 × 10-51
1.0%
1.63 × 10-51
1.0%

gmrt_in_air9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.1121822
Minimum56.31904358
Maximum2237.051795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:23.792136image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum56.31904358
5-th percentile70.74851932
Q1137.5855713
median219.423775
Q3338.2804164
95-th percentile1058.289202
Maximum2237.051795
Range2180.732751
Interquartile range (IQR)200.6948451

Descriptive statistics

Standard deviation330.0932608
Coefficient of variation (CV)0.9969227308
Kurtosis11.14110893
Mean331.1121822
Median Absolute Deviation (MAD)91.2693513
Skewness2.867256157
Sum34435.66694
Variance108961.5608
MonotonicityNot monotonic
2025-11-14T18:32:23.887025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1058.2892024
 
3.8%
147.88299551
 
1.0%
204.62593571
 
1.0%
847.11785831
 
1.0%
137.81263261
 
1.0%
144.18355771
 
1.0%
121.39443431
 
1.0%
210.09831071
 
1.0%
248.85733131
 
1.0%
243.51068741
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
56.319043581
1.0%
63.88930381
1.0%
65.560104761
1.0%
67.345718541
1.0%
67.363606671
1.0%
ValueCountFrequency (%)
2237.0517951
 
1.0%
1331.3400311
 
1.0%
1261.0712571
 
1.0%
1058.2892024
3.8%
906.11945151
 
1.0%

gmrt_on_paper9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.9028008
Minimum19.45470434
Maximum599.071897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:24.134135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19.45470434
5-th percentile46.02348839
Q176.06187295
median124.5869142
Q3186.4178826
95-th percentile284.2173315
Maximum599.071897
Range579.6171927
Interquartile range (IQR)110.3560096

Descriptive statistics

Standard deviation85.89939804
Coefficient of variation (CV)0.6139934123
Kurtosis7.453939195
Mean139.9028008
Median Absolute Deviation (MAD)52.53080567
Skewness2.031786467
Sum14549.89128
Variance7378.706584
MonotonicityNot monotonic
2025-11-14T18:32:24.228274image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
219.31740694
 
3.8%
100.76122471
 
1.0%
81.342263971
 
1.0%
169.11289061
 
1.0%
76.243725181
 
1.0%
185.45088981
 
1.0%
37.076096421
 
1.0%
93.837057791
 
1.0%
67.939505851
 
1.0%
72.151113871
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
19.454704341
1.0%
37.076096421
1.0%
43.815882051
1.0%
44.138773031
1.0%
44.212936421
1.0%
ValueCountFrequency (%)
599.0718971
1.0%
391.8854961
1.0%
364.71690671
1.0%
327.13130251
1.0%
303.1665411
1.0%

max_x_extension9
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1815.788462
Minimum812
Maximum11618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:24.323951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum812
5-th percentile926.6
Q11192
median1544
Q31967.75
95-th percentile3038.25
Maximum11618
Range10806
Interquartile range (IQR)775.75

Descriptive statistics

Standard deviation1363.142954
Coefficient of variation (CV)0.7507168277
Kurtosis30.3049089
Mean1815.788462
Median Absolute Deviation (MAD)389
Skewness4.96006468
Sum188842
Variance1858158.712
MonotonicityNot monotonic
2025-11-14T18:32:24.423956image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16094
 
3.8%
14312
 
1.9%
13362
 
1.9%
18482
 
1.9%
55111
 
1.0%
14961
 
1.0%
15021
 
1.0%
19851
 
1.0%
23821
 
1.0%
14261
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
8121
1.0%
8281
1.0%
8401
1.0%
9141
1.0%
9181
1.0%
ValueCountFrequency (%)
116181
1.0%
82601
1.0%
55111
1.0%
40481
1.0%
38581
1.0%

max_y_extension9
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4757.836538
Minimum1522
Maximum13278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:24.524834image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1522
5-th percentile2396.9
Q13287.5
median4292.5
Q35932
95-th percentile7818.5
Maximum13278
Range11756
Interquartile range (IQR)2644.5

Descriptive statistics

Standard deviation1956.758887
Coefficient of variation (CV)0.4112707259
Kurtosis3.724321224
Mean4757.836538
Median Absolute Deviation (MAD)1215.5
Skewness1.450733572
Sum494815
Variance3828905.342
MonotonicityNot monotonic
2025-11-14T18:32:24.618100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60114
 
3.8%
30152
 
1.9%
27331
 
1.0%
40151
 
1.0%
21201
 
1.0%
75071
 
1.0%
26691
 
1.0%
59121
 
1.0%
29661
 
1.0%
63461
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
15221
1.0%
17891
1.0%
21201
1.0%
23001
1.0%
23441
1.0%
ValueCountFrequency (%)
132781
1.0%
118861
1.0%
93261
1.0%
87071
1.0%
82011
1.0%

mean_acc_in_air9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4657471676
Minimum0.07775442
Maximum5.548269831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:24.707286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.07775442
5-th percentile0.1580230708
Q10.2117976452
median0.250461345
Q30.3798440015
95-th percentile1.052686888
Maximum5.548269831
Range5.470515411
Interquartile range (IQR)0.1680463562

Descriptive statistics

Standard deviation0.7223059314
Coefficient of variation (CV)1.550854158
Kurtosis27.4469359
Mean0.4657471676
Median Absolute Deviation (MAD)0.0688192075
Skewness4.880033021
Sum48.43770543
Variance0.5217258585
MonotonicityNot monotonic
2025-11-14T18:32:24.790624image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3720645924
 
3.8%
0.178810741
 
1.0%
0.7376561391
 
1.0%
0.7123560731
 
1.0%
0.3264131631
 
1.0%
0.356238371
 
1.0%
0.2238216381
 
1.0%
0.2390865121
 
1.0%
0.3696466821
 
1.0%
0.2362569721
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.077754421
1.0%
0.1171306411
1.0%
0.1278983671
1.0%
0.1491034031
1.0%
0.1515428881
1.0%
ValueCountFrequency (%)
5.5482698311
1.0%
3.2905954591
1.0%
3.0483134711
1.0%
2.7052692461
1.0%
2.0619454841
1.0%

mean_acc_on_paper9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1346320954
Minimum0.068557468
Maximum0.230984852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:24.897351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.068557468
5-th percentile0.08326006175
Q10.1095517603
median0.129457711
Q30.158084839
95-th percentile0.1975842414
Maximum0.230984852
Range0.162427384
Interquartile range (IQR)0.04853307875

Descriptive statistics

Standard deviation0.03534841259
Coefficient of variation (CV)0.2625556149
Kurtosis-0.3202722745
Mean0.1346320954
Median Absolute Deviation (MAD)0.026097249
Skewness0.4879583517
Sum14.00173792
Variance0.001249510273
MonotonicityNot monotonic
2025-11-14T18:32:25.002930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0908780394
 
3.8%
0.1575599461
 
1.0%
0.1574396431
 
1.0%
0.1023932221
 
1.0%
0.1239738181
 
1.0%
0.0987853621
 
1.0%
0.1488388511
 
1.0%
0.1658417821
 
1.0%
0.1326139241
 
1.0%
0.1296559731
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.0685574681
1.0%
0.073416221
1.0%
0.0742952481
1.0%
0.0805467761
1.0%
0.081778951
1.0%
ValueCountFrequency (%)
0.2309848521
1.0%
0.2195225281
1.0%
0.2059030931
1.0%
0.2051261311
1.0%
0.2021370821
1.0%

mean_gmrt9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.5074915
Minimum56.61739955
Maximum1262.499056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:25.102877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum56.61739955
5-th percentile78.23559134
Q1123.9794578
median178.3038686
Q3269.686061
95-th percentile638.8033044
Maximum1262.499056
Range1205.881656
Interquartile range (IQR)145.7066033

Descriptive statistics

Standard deviation184.2561844
Coefficient of variation (CV)0.7823792918
Kurtosis9.3039635
Mean235.5074915
Median Absolute Deviation (MAD)63.58708575
Skewness2.549591137
Sum24492.77911
Variance33950.34148
MonotonicityNot monotonic
2025-11-14T18:32:25.239750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
638.80330444
 
3.8%
124.32211011
 
1.0%
142.98409991
 
1.0%
508.11537451
 
1.0%
107.02817891
 
1.0%
164.81722381
 
1.0%
79.235265381
 
1.0%
151.96768421
 
1.0%
158.39841861
 
1.0%
157.83090071
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
56.617399551
1.0%
64.295899261
1.0%
65.712991571
1.0%
65.876331841
1.0%
67.600834931
1.0%
ValueCountFrequency (%)
1262.4990561
 
1.0%
782.11889891
 
1.0%
690.25306991
 
1.0%
638.80330444
3.8%
516.27053861
 
1.0%

mean_jerk_in_air9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07740392562
Minimum0.012767888
Maximum1.097840416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:25.329195image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.012767888
5-th percentile0.0195384071
Q10.025963198
median0.034951701
Q30.066024388
95-th percentile0.1918286622
Maximum1.097840416
Range1.085072528
Interquartile range (IQR)0.04006119

Descriptive statistics

Standard deviation0.1447366924
Coefficient of variation (CV)1.869888268
Kurtosis27.7514116
Mean0.07740392562
Median Absolute Deviation (MAD)0.011454443
Skewness4.924493735
Sum8.050008264
Variance0.02094871013
MonotonicityNot monotonic
2025-11-14T18:32:25.426126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0660243884
 
3.8%
0.0256225421
 
1.0%
0.1305256491
 
1.0%
0.0864601391
 
1.0%
0.0485578191
 
1.0%
0.0547690641
 
1.0%
0.0295426661
 
1.0%
0.0327793731
 
1.0%
0.0602031981
 
1.0%
0.0235694781
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.0127678881
1.0%
0.0155566661
1.0%
0.017062721
1.0%
0.0183740461
1.0%
0.0186357331
1.0%
ValueCountFrequency (%)
1.0978404161
1.0%
0.6439094351
1.0%
0.5971641661
1.0%
0.5346538331
1.0%
0.3967027941
1.0%

mean_jerk_on_paper9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01455294389
Minimum0.009277691
Maximum0.020629618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:25.507442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.009277691
5-th percentile0.01076536855
Q10.01256733225
median0.0143070305
Q30.0162684255
95-th percentile0.0188068827
Maximum0.020629618
Range0.011351927
Interquartile range (IQR)0.00370109325

Descriptive statistics

Standard deviation0.002550932083
Coefficient of variation (CV)0.1752863271
Kurtosis-0.5016897289
Mean0.01455294389
Median Absolute Deviation (MAD)0.0018520575
Skewness0.2912188768
Sum1.513506165
Variance6.507254493 × 10-6
MonotonicityNot monotonic
2025-11-14T18:32:25.600377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0113956264
 
3.8%
0.0163139071
 
1.0%
0.017165811
 
1.0%
0.0124789651
 
1.0%
0.0151801061
 
1.0%
0.0141823061
 
1.0%
0.0153824111
 
1.0%
0.0162532651
 
1.0%
0.0156386641
 
1.0%
0.0146211961
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.0092776911
1.0%
0.0100018441
1.0%
0.0102682611
1.0%
0.0102903621
1.0%
0.0104918381
1.0%
ValueCountFrequency (%)
0.0206296181
1.0%
0.0206049071
1.0%
0.0198883451
1.0%
0.0197884361
1.0%
0.0195947051
1.0%

mean_speed_in_air9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.536584731
Minimum0.664521669
Maximum24.90614553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:25.690576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.664521669
5-th percentile0.8174976811
Q11.665542962
median2.60154155
Q33.72735106
95-th percentile9.554389269
Maximum24.90614553
Range24.24162386
Interquartile range (IQR)2.061808098

Descriptive statistics

Standard deviation3.492304551
Coefficient of variation (CV)0.9874793952
Kurtosis15.68583588
Mean3.536584731
Median Absolute Deviation (MAD)1.024074987
Skewness3.459250352
Sum367.804812
Variance12.19619108
MonotonicityNot monotonic
2025-11-14T18:32:25.778068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.4065057724
 
3.8%
0.9115072451
 
1.0%
4.0829897951
 
1.0%
14.996695341
 
1.0%
2.8919368451
 
1.0%
2.3306104871
 
1.0%
1.4402869641
 
1.0%
2.9094272531
 
1.0%
3.1886131781
 
1.0%
1.9232259241
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.6645216691
1.0%
0.7664778221
1.0%
0.7836386031
1.0%
0.7870456491
1.0%
0.7982414491
1.0%
ValueCountFrequency (%)
24.906145531
1.0%
17.235041091
1.0%
14.996695341
1.0%
11.727976291
1.0%
10.027675591
1.0%

mean_speed_on_paper9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.758567353
Minimum0.356095418
Maximum11.52884374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:25.860347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.356095418
5-th percentile0.8431170441
Q11.494232219
median2.410209948
Q33.77162925
95-th percentile5.905056376
Maximum11.52884374
Range11.17274832
Interquartile range (IQR)2.277397032

Descriptive statistics

Standard deviation1.730810462
Coefficient of variation (CV)0.6274309236
Kurtosis5.539571006
Mean2.758567353
Median Absolute Deviation (MAD)1.056087903
Skewness1.708441138
Sum286.8910047
Variance2.995704856
MonotonicityNot monotonic
2025-11-14T18:32:25.953696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.5483389444
 
3.8%
2.0270755941
 
1.0%
1.6177917671
 
1.0%
3.4724014891
 
1.0%
0.8162595181
 
1.0%
3.810745591
 
1.0%
0.7347646531
 
1.0%
2.0074543831
 
1.0%
1.3599243181
 
1.0%
1.4558548641
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.3560954181
1.0%
0.5149437771
1.0%
0.5236036171
1.0%
0.7347646531
1.0%
0.8162595181
1.0%
ValueCountFrequency (%)
11.528843741
1.0%
7.3770381951
1.0%
6.7669069421
1.0%
6.4503061021
1.0%
6.1389200361
1.0%

num_of_pendown9
Real number (ℝ)

Distinct17
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.798076923
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:26.025581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile14.85
Maximum27
Range26
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.911606637
Coefficient of variation (CV)1.293182507
Kurtosis7.491736126
Mean3.798076923
Median Absolute Deviation (MAD)1
Skewness2.659520992
Sum395
Variance24.12387976
MonotonicityNot monotonic
2025-11-14T18:32:26.258985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
151
49.0%
413
 
12.5%
29
 
8.7%
38
 
7.7%
55
 
4.8%
63
 
2.9%
92
 
1.9%
102
 
1.9%
72
 
1.9%
212
 
1.9%
Other values (7)7
 
6.7%
ValueCountFrequency (%)
151
49.0%
29
 
8.7%
38
 
7.7%
413
 
12.5%
55
 
4.8%
ValueCountFrequency (%)
271
1.0%
212
1.9%
191
1.0%
181
1.0%
151
1.0%

paper_time9
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7379.134615
Minimum2195
Maximum30475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:26.342662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2195
5-th percentile2847.5
Q13930
median5865
Q38880
95-th percentile17881
Maximum30475
Range28280
Interquartile range (IQR)4950

Descriptive statistics

Standard deviation5044.820974
Coefficient of variation (CV)0.6836602443
Kurtosis5.740297951
Mean7379.134615
Median Absolute Deviation (MAD)2077.5
Skewness2.125705465
Sum767430
Variance25450218.66
MonotonicityNot monotonic
2025-11-14T18:32:26.426007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35704
 
3.8%
52952
 
1.9%
40202
 
1.9%
78651
 
1.0%
26651
 
1.0%
150051
 
1.0%
21951
 
1.0%
274401
 
1.0%
44901
 
1.0%
148301
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
21951
1.0%
23901
1.0%
24501
1.0%
25251
1.0%
26651
1.0%
ValueCountFrequency (%)
304751
1.0%
274401
1.0%
208251
1.0%
191701
1.0%
185401
1.0%

pressure_mean9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1795.922923
Minimum648.0950069
Maximum2044.84433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:26.530144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum648.0950069
5-th percentile1023.431913
Q11688.000303
median1966.980433
Q32021.366741
95-th percentile2040.610644
Maximum2044.84433
Range1396.749323
Interquartile range (IQR)333.3664382

Descriptive statistics

Standard deviation334.1627263
Coefficient of variation (CV)0.1860674097
Kurtosis2.57398328
Mean1795.922923
Median Absolute Deviation (MAD)71.783116
Skewness-1.783666061
Sum186775.984
Variance111664.7277
MonotonicityNot monotonic
2025-11-14T18:32:26.624519image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2040.6106444
 
3.8%
1986.5737481
 
1.0%
1887.2536321
 
1.0%
2040.8405251
 
1.0%
1438.3328891
 
1.0%
2007.7266511
 
1.0%
1987.3704451
 
1.0%
1955.7550111
 
1.0%
1935.8418751
 
1.0%
2021.2755511
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
648.09500691
1.0%
739.87926331
1.0%
776.79724411
1.0%
816.28046261
1.0%
969.30798271
1.0%
ValueCountFrequency (%)
2044.844331
 
1.0%
2044.6371811
 
1.0%
2040.8405251
 
1.0%
2040.6106444
3.8%
2039.1965521
 
1.0%

pressure_var9
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77502.34929
Minimum1532.626983
Maximum381441.5826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:26.732165image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1532.626983
5-th percentile4153.671753
Q124047.48403
median57520.97951
Q3101696.2646
95-th percentile224541.007
Maximum381441.5826
Range379908.9556
Interquartile range (IQR)77648.78055

Descriptive statistics

Standard deviation72537.74811
Coefficient of variation (CV)0.9359425718
Kurtosis2.861890869
Mean77502.34929
Median Absolute Deviation (MAD)36729.89384
Skewness1.589663867
Sum8060244.326
Variance5261724902
MonotonicityNot monotonic
2025-11-14T18:32:26.835742image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3889.9996634
 
3.8%
68273.79261
 
1.0%
119482.71821
 
1.0%
6857.5186581
 
1.0%
223799.53831
 
1.0%
40849.11891
 
1.0%
73609.466821
 
1.0%
103532.45891
 
1.0%
142176.13311
 
1.0%
29820.975461
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
1532.6269831
 
1.0%
2236.7891691
 
1.0%
3889.9996634
3.8%
5647.8135941
 
1.0%
5949.5651021
 
1.0%
ValueCountFrequency (%)
381441.58261
1.0%
292112.48291
1.0%
272927.94891
1.0%
233867.45691
1.0%
226227.02591
1.0%

total_time9
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12068.17308
Minimum2725
Maximum76555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:26.932066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2725
5-th percentile3791
Q15331.25
median8097.5
Q315043.75
95-th percentile33150.5
Maximum76555
Range73830
Interquartile range (IQR)9712.5

Descriptive statistics

Standard deviation10999.24649
Coefficient of variation (CV)0.9114259813
Kurtosis11.38052591
Mean12068.17308
Median Absolute Deviation (MAD)3175
Skewness2.814946183
Sum1255090
Variance120983423.3
MonotonicityNot monotonic
2025-11-14T18:32:27.039652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39104
 
3.8%
44652
 
1.9%
76651
 
1.0%
83401
 
1.0%
218201
 
1.0%
27251
 
1.0%
313401
 
1.0%
51601
 
1.0%
373151
 
1.0%
76801
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
27251
1.0%
28701
1.0%
31251
1.0%
32001
1.0%
36101
1.0%
ValueCountFrequency (%)
765551
1.0%
449901
1.0%
387801
1.0%
373151
1.0%
370001
1.0%

air_time10
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3973.557692
Minimum300
Maximum28525
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:27.132113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum300
5-th percentile508.75
Q11035
median1962.5
Q33768.75
95-th percentile14370
Maximum28525
Range28225
Interquartile range (IQR)2733.75

Descriptive statistics

Standard deviation5601.902012
Coefficient of variation (CV)1.409795062
Kurtosis9.384811323
Mean3973.557692
Median Absolute Deviation (MAD)1017.5
Skewness2.952030755
Sum413250
Variance31381306.15
MonotonicityNot monotonic
2025-11-14T18:32:27.223630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5303
 
2.9%
7002
 
1.9%
5052
 
1.9%
29202
 
1.9%
23352
 
1.9%
17901
 
1.0%
216601
 
1.0%
26751
 
1.0%
69851
 
1.0%
8601
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
3001
1.0%
3501
1.0%
4351
1.0%
4651
1.0%
5052
1.9%
ValueCountFrequency (%)
285251
1.0%
281251
1.0%
280801
1.0%
216601
1.0%
148351
1.0%

disp_index10
Real number (ℝ)

Distinct91
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.223461538 × 10-6
Minimum2.39 × 10-6
Maximum1.16 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:27.313111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.39 × 10-6
5-th percentile4.075 × 10-6
Q14.91 × 10-6
median5.735 × 10-6
Q37.34 × 10-6
95-th percentile9.8465 × 10-6
Maximum1.16 × 10-5
Range9.21 × 10-6
Interquartile range (IQR)2.43 × 10-6

Descriptive statistics

Standard deviation1.819159504 × 10-6
Coefficient of variation (CV)0.2923066998
Kurtosis0
Mean6.223461538 × 10-6
Median Absolute Deviation (MAD)1.175 × 10-6
Skewness0
Sum0.00064724
Variance3.309341299 × 10-12
MonotonicityNot monotonic
2025-11-14T18:32:27.440181image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.97 × 10-64
 
3.8%
5.66 × 10-62
 
1.9%
5.62 × 10-62
 
1.9%
6.12 × 10-62
 
1.9%
5.28 × 10-62
 
1.9%
5.48 × 10-62
 
1.9%
7.71 × 10-62
 
1.9%
4.54 × 10-62
 
1.9%
4.19 × 10-62
 
1.9%
8.8 × 10-62
 
1.9%
Other values (81)82
78.8%
ValueCountFrequency (%)
2.39 × 10-61
1.0%
3.61 × 10-61
1.0%
3.7 × 10-61
1.0%
3.72 × 10-61
1.0%
3.94 × 10-61
1.0%
ValueCountFrequency (%)
1.16 × 10-51
1.0%
1.06 × 10-51
1.0%
1.03 × 10-51
1.0%
1.01 × 10-51
1.0%
9.99 × 10-61
1.0%

gmrt_in_air10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.1506407
Minimum38.39930752
Maximum923.4866089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:27.540126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum38.39930752
5-th percentile63.32663491
Q1117.0321086
median182.736704
Q3262.2141294
95-th percentile433.0600958
Maximum923.4866089
Range885.0873014
Interquartile range (IQR)145.1820208

Descriptive statistics

Standard deviation135.4496946
Coefficient of variation (CV)0.6384599835
Kurtosis6.311837351
Mean212.1506407
Median Absolute Deviation (MAD)69.3058091
Skewness1.871980828
Sum22063.66663
Variance18346.61976
MonotonicityNot monotonic
2025-11-14T18:32:27.618706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
375.17730493
 
2.9%
174.58048181
 
1.0%
67.099613451
 
1.0%
87.879644041
 
1.0%
84.195830161
 
1.0%
226.74893471
 
1.0%
158.31505231
 
1.0%
192.4594741
 
1.0%
127.44418371
 
1.0%
238.79486611
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
38.399307521
1.0%
42.460407041
1.0%
51.711482521
1.0%
52.471559461
1.0%
62.307923061
1.0%
ValueCountFrequency (%)
923.48660891
1.0%
552.90546741
1.0%
505.77975491
1.0%
460.20141751
1.0%
441.17888751
1.0%

gmrt_on_paper10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.7289501
Minimum28.12664191
Maximum726.5772074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:27.705205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum28.12664191
5-th percentile68.51141
Q1129.2829973
median186.5145915
Q3237.0794522
95-th percentile369.9118853
Maximum726.5772074
Range698.4505655
Interquartile range (IQR)107.7964548

Descriptive statistics

Standard deviation108.1379289
Coefficient of variation (CV)0.5468998285
Kurtosis6.508924097
Mean197.7289501
Median Absolute Deviation (MAD)54.5918961
Skewness1.87282788
Sum20563.81081
Variance11693.81166
MonotonicityNot monotonic
2025-11-14T18:32:27.795660image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
211.34189233
 
2.9%
210.40968271
 
1.0%
37.370973071
 
1.0%
303.42690331
 
1.0%
68.262914921
 
1.0%
270.79575761
 
1.0%
187.80170661
 
1.0%
242.5000251
 
1.0%
71.451205571
 
1.0%
359.20623341
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
28.126641911
1.0%
37.370973071
1.0%
50.873448731
1.0%
66.625982421
1.0%
68.262914921
1.0%
ValueCountFrequency (%)
726.57720741
1.0%
630.73627671
1.0%
418.97186221
1.0%
405.11086491
1.0%
374.37447861
1.0%

max_x_extension10
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2109.057692
Minimum527
Maximum10469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:27.885375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum527
5-th percentile1181.15
Q11636
median1932.5
Q32318.75
95-th percentile3329.65
Maximum10469
Range9942
Interquartile range (IQR)682.75

Descriptive statistics

Standard deviation1083.25284
Coefficient of variation (CV)0.5136193494
Kurtosis34.74378756
Mean2109.057692
Median Absolute Deviation (MAD)353
Skewness4.883951331
Sum219342
Variance1173436.715
MonotonicityNot monotonic
2025-11-14T18:32:27.973539image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22093
 
2.9%
18492
 
1.9%
24022
 
1.9%
22931
 
1.0%
22921
 
1.0%
14141
 
1.0%
17351
 
1.0%
16531
 
1.0%
18141
 
1.0%
8871
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
5271
1.0%
8871
1.0%
9001
1.0%
11311
1.0%
11581
1.0%
ValueCountFrequency (%)
104691
1.0%
51541
1.0%
48611
1.0%
37211
1.0%
33921
1.0%

max_y_extension10
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3326.576923
Minimum1587
Maximum7839
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:28.061411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1587
5-th percentile1990.6
Q12649.25
median3071
Q33819.25
95-th percentile5125.75
Maximum7839
Range6252
Interquartile range (IQR)1170

Descriptive statistics

Standard deviation1136.302594
Coefficient of variation (CV)0.3415831411
Kurtosis4.821651619
Mean3326.576923
Median Absolute Deviation (MAD)575.5
Skewness1.800991101
Sum345964
Variance1291183.586
MonotonicityNot monotonic
2025-11-14T18:32:28.305173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41063
 
2.9%
20282
 
1.9%
27092
 
1.9%
27781
 
1.0%
31001
 
1.0%
22731
 
1.0%
31061
 
1.0%
25181
 
1.0%
17621
 
1.0%
38031
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
15871
1.0%
17621
1.0%
17811
1.0%
19681
1.0%
19761
1.0%
ValueCountFrequency (%)
78391
1.0%
77471
1.0%
75831
1.0%
59111
1.0%
52041
1.0%

mean_acc_in_air10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3461756665
Minimum0.086002814
Maximum1.630179108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:28.392493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.086002814
5-th percentile0.1686699954
Q10.2154973423
median0.260010009
Q30.3517783325
95-th percentile0.7684418908
Maximum1.630179108
Range1.544176294
Interquartile range (IQR)0.1362809903

Descriptive statistics

Standard deviation0.2660675617
Coefficient of variation (CV)0.7685911733
Kurtosis12.01480486
Mean0.3461756665
Median Absolute Deviation (MAD)0.047673305
Skewness3.260405746
Sum36.00226932
Variance0.07079194738
MonotonicityNot monotonic
2025-11-14T18:32:28.483006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3047779043
 
2.9%
0.2256780661
 
1.0%
0.2379525591
 
1.0%
0.1800141521
 
1.0%
0.1923048561
 
1.0%
0.2755006751
 
1.0%
0.2088729591
 
1.0%
0.3073955561
 
1.0%
0.2751852511
 
1.0%
0.2151058731
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0860028141
1.0%
0.1297772191
1.0%
0.1607780461
1.0%
0.1637692851
1.0%
0.1671840331
1.0%
ValueCountFrequency (%)
1.6301791081
1.0%
1.5565435491
1.0%
1.54311331
1.0%
1.0553164081
1.0%
0.8683441751
1.0%

mean_acc_on_paper10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1551568166
Minimum0.039595657
Maximum0.317258665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:28.572437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.039595657
5-th percentile0.1006624561
Q10.1257482887
median0.1415845465
Q30.1815379335
95-th percentile0.2403159366
Maximum0.317258665
Range0.277663008
Interquartile range (IQR)0.05578964475

Descriptive statistics

Standard deviation0.04532382977
Coefficient of variation (CV)0.292116265
Kurtosis1.870348118
Mean0.1551568166
Median Absolute Deviation (MAD)0.024874611
Skewness1.045223332
Sum16.13630893
Variance0.002054249545
MonotonicityNot monotonic
2025-11-14T18:32:28.658461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1190107293
 
2.9%
0.1665158251
 
1.0%
0.1035544861
 
1.0%
0.1779682271
 
1.0%
0.1404856441
 
1.0%
0.1990917181
 
1.0%
0.1259514511
 
1.0%
0.1776926491
 
1.0%
0.1346589361
 
1.0%
0.2819094971
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0395956571
1.0%
0.0972757591
1.0%
0.0976146671
1.0%
0.0979934831
1.0%
0.0996575891
1.0%
ValueCountFrequency (%)
0.3172586651
1.0%
0.2994018511
1.0%
0.2819094971
1.0%
0.254074861
1.0%
0.2475882471
1.0%

mean_gmrt10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.9397954
Minimum52.23529326
Maximum627.9264018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:28.741782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum52.23529326
5-th percentile76.23064097
Q1137.6536722
median186.8567888
Q3261.2423572
95-th percentile378.9552365
Maximum627.9264018
Range575.6911085
Interquartile range (IQR)123.588685

Descriptive statistics

Standard deviation103.8862146
Coefficient of variation (CV)0.5069108926
Kurtosis3.302165089
Mean204.9397954
Median Absolute Deviation (MAD)55.27503775
Skewness1.46389811
Sum21313.73872
Variance10792.34559
MonotonicityNot monotonic
2025-11-14T18:32:28.825295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
293.25959863
 
2.9%
192.49508221
 
1.0%
52.235293261
 
1.0%
195.65327371
 
1.0%
76.229372541
 
1.0%
248.77234621
 
1.0%
173.05837951
 
1.0%
217.47974951
 
1.0%
99.447694641
 
1.0%
299.00054981
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
52.235293261
1.0%
60.552886351
1.0%
63.420150191
1.0%
66.521648531
1.0%
75.143389991
1.0%
ValueCountFrequency (%)
627.92640181
1.0%
583.87804741
1.0%
466.09366151
1.0%
462.35329271
1.0%
418.48076221
1.0%

mean_jerk_in_air10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05206992987
Minimum0.013962723
Maximum0.303487681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:28.908542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.013962723
5-th percentile0.02095354735
Q10.02703953125
median0.0326909045
Q30.04656124675
95-th percentile0.130246132
Maximum0.303487681
Range0.289524958
Interquartile range (IQR)0.0195217155

Descriptive statistics

Standard deviation0.05319777036
Coefficient of variation (CV)1.021660112
Kurtosis12.18462801
Mean0.05206992987
Median Absolute Deviation (MAD)0.0074232665
Skewness3.314560234
Sum5.415272706
Variance0.002830002771
MonotonicityNot monotonic
2025-11-14T18:32:28.997419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0271369093
 
2.9%
0.0270547171
 
1.0%
0.0366635971
 
1.0%
0.0232423421
 
1.0%
0.0240120621
 
1.0%
0.0404030781
 
1.0%
0.0275978851
 
1.0%
0.0414937461
 
1.0%
0.0377927461
 
1.0%
0.0273651021
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0139627231
1.0%
0.0184983911
1.0%
0.0185041641
1.0%
0.0189954931
1.0%
0.0206068971
1.0%
ValueCountFrequency (%)
0.3034876811
1.0%
0.2971019961
1.0%
0.296266791
1.0%
0.198292561
1.0%
0.1569333991
1.0%

mean_jerk_on_paper10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01791833586
Minimum0.005175312
Maximum0.030171394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:29.094218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.005175312
5-th percentile0.0128481002
Q10.015362569
median0.0173089915
Q30.01946844925
95-th percentile0.02556244235
Maximum0.030171394
Range0.024996082
Interquartile range (IQR)0.00410588025

Descriptive statistics

Standard deviation0.003849929516
Coefficient of variation (CV)0.2148597697
Kurtosis1.427256222
Mean0.01791833586
Median Absolute Deviation (MAD)0.0020180685
Skewness0.5761494221
Sum1.863506929
Variance1.482195727 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:29.185071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0153625693
 
2.9%
0.0190927891
 
1.0%
0.0127430171
 
1.0%
0.0196184251
 
1.0%
0.0171226171
 
1.0%
0.0182707471
 
1.0%
0.0149783591
 
1.0%
0.0194303261
 
1.0%
0.0163321561
 
1.0%
0.0263827211
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0051753121
1.0%
0.012454961
1.0%
0.012540941
1.0%
0.0125657411
1.0%
0.0127430171
1.0%
ValueCountFrequency (%)
0.0301713941
1.0%
0.0279029181
1.0%
0.0264669331
1.0%
0.0263827211
1.0%
0.0262399571
1.0%

mean_speed_in_air10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1824998
Minimum0.644757038
Maximum9.578699653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:29.273607image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.644757038
5-th percentile1.061237817
Q11.900948331
median2.658228087
Q34.011128197
95-th percentile7.468029986
Maximum9.578699653
Range8.933942615
Interquartile range (IQR)2.110179866

Descriptive statistics

Standard deviation1.859801854
Coefficient of variation (CV)0.5843839659
Kurtosis1.232381372
Mean3.1824998
Median Absolute Deviation (MAD)0.923949702
Skewness1.244170947
Sum330.9799792
Variance3.458862938
MonotonicityNot monotonic
2025-11-14T18:32:29.348942image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7512539823
 
2.9%
3.0060463811
 
1.0%
1.4245885191
 
1.0%
1.4989927361
 
1.0%
1.7325952991
 
1.0%
4.458100571
 
1.0%
2.5448961261
 
1.0%
3.6593272551
 
1.0%
1.5461388891
 
1.0%
4.171567721
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.6447570381
1.0%
0.6523977651
1.0%
0.8903968721
1.0%
0.9177240481
1.0%
0.9751682921
1.0%
ValueCountFrequency (%)
9.5786996531
1.0%
8.0706216211
1.0%
7.8010236481
1.0%
7.7288668751
1.0%
7.7048481261
1.0%

mean_speed_on_paper10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.793269187
Minimum0.568802625
Maximum14.02656691
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:29.441764image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.568802625
5-th percentile1.143304324
Q12.402503237
median3.464720343
Q34.695852178
95-th percentile7.368191968
Maximum14.02656691
Range13.45776428
Interquartile range (IQR)2.293348941

Descriptive statistics

Standard deviation2.138411494
Coefficient of variation (CV)0.5637383977
Kurtosis4.765005477
Mean3.793269187
Median Absolute Deviation (MAD)1.131111129
Skewness1.56702791
Sum394.4999954
Variance4.572803716
MonotonicityNot monotonic
2025-11-14T18:32:29.535838image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.2388971053
 
2.9%
4.2194016081
 
1.0%
0.6433326341
 
1.0%
5.6232873321
 
1.0%
1.1801786351
 
1.0%
5.3762056441
 
1.0%
3.4946129741
 
1.0%
4.8769543831
 
1.0%
1.4323296381
 
1.0%
7.3139335531
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.5688026251
1.0%
0.6433326341
1.0%
0.9378301571
1.0%
0.9784831411
1.0%
1.0048497181
1.0%
ValueCountFrequency (%)
14.026566911
1.0%
10.768926251
1.0%
8.4285540731
1.0%
7.9229725351
1.0%
7.6783565521
1.0%

num_of_pendown10
Real number (ℝ)

Distinct14
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.605769231
Minimum1
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:29.617610image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile10.85
Maximum15
Range14
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.76039349
Coefficient of variation (CV)0.4924201079
Kurtosis1.552583051
Mean5.605769231
Median Absolute Deviation (MAD)1
Skewness1.041790971
Sum583
Variance7.619772218
MonotonicityNot monotonic
2025-11-14T18:32:29.680082image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
622
21.2%
417
16.3%
515
14.4%
210
9.6%
310
9.6%
88
 
7.7%
77
 
6.7%
94
 
3.8%
103
 
2.9%
12
 
1.9%
Other values (4)6
 
5.8%
ValueCountFrequency (%)
12
 
1.9%
210
9.6%
310
9.6%
417
16.3%
515
14.4%
ValueCountFrequency (%)
151
 
1.0%
142
1.9%
121
 
1.0%
112
1.9%
103
2.9%

paper_time10
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3826.538462
Minimum1025
Maximum19315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:29.758490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1025
5-th percentile1808.25
Q12401.25
median2822.5
Q34412.5
95-th percentile9261.25
Maximum19315
Range18290
Interquartile range (IQR)2011.25

Descriptive statistics

Standard deviation2609.144401
Coefficient of variation (CV)0.6818550047
Kurtosis12.34297694
Mean3826.538462
Median Absolute Deviation (MAD)655
Skewness2.968239477
Sum397960
Variance6807634.503
MonotonicityNot monotonic
2025-11-14T18:32:29.852381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26353
 
2.9%
24053
 
2.9%
21852
 
1.9%
18552
 
1.9%
44351
 
1.0%
118051
 
1.0%
19301
 
1.0%
67401
 
1.0%
17901
 
1.0%
24751
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
10251
1.0%
16401
1.0%
16801
1.0%
17651
1.0%
17901
1.0%
ValueCountFrequency (%)
193151
1.0%
118051
1.0%
108301
1.0%
101851
1.0%
97451
1.0%

pressure_mean10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1668.617731
Minimum631.4837545
Maximum2038.070278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:29.936622image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum631.4837545
5-th percentile905.990127
Q11549.46543
median1800.149392
Q31911.248327
95-th percentile1989.349146
Maximum2038.070278
Range1406.586523
Interquartile range (IQR)361.7828973

Descriptive statistics

Standard deviation350.2518851
Coefficient of variation (CV)0.2099054077
Kurtosis1.215451806
Mean1668.617731
Median Absolute Deviation (MAD)140.5088985
Skewness-1.425776892
Sum173536.244
Variance122676.383
MonotonicityNot monotonic
2025-11-14T18:32:30.023507image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1989.3491463
 
2.9%
1796.7692311
 
1.0%
894.7810251
 
1.0%
1662.6580311
 
1.0%
1223.899111
 
1.0%
1890.4776541
 
1.0%
1903.8585861
 
1.0%
1896.2509731
 
1.0%
1703.2617551
 
1.0%
1954.8741871
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
631.48375451
1.0%
655.34116021
1.0%
657.96684251
1.0%
774.6689421
1.0%
813.64633141
1.0%
ValueCountFrequency (%)
2038.0702781
1.0%
2022.8164561
1.0%
2013.4830921
1.0%
2004.0581161
1.0%
1993.2544031
1.0%

pressure_var10
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146244.3379
Minimum8657.154651
Maximum424882.3754
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:30.114747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8657.154651
5-th percentile51244.67506
Q192435.6595
median132684.9477
Q3183537.7141
95-th percentile290127.5802
Maximum424882.3754
Range416225.2207
Interquartile range (IQR)91102.05455

Descriptive statistics

Standard deviation76289.38332
Coefficient of variation (CV)0.5216570051
Kurtosis2.029950918
Mean146244.3379
Median Absolute Deviation (MAD)45388.34205
Skewness1.156015382
Sum15209411.14
Variance5820070008
MonotonicityNot monotonic
2025-11-14T18:32:30.204061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51244.675063
 
2.9%
188356.54291
 
1.0%
328738.96561
 
1.0%
177828.24581
 
1.0%
183269.18121
 
1.0%
105784.55121
 
1.0%
126184.18611
 
1.0%
116265.69381
 
1.0%
348120.52241
 
1.0%
84005.224951
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
8657.1546511
 
1.0%
18891.928341
 
1.0%
34097.321271
 
1.0%
36841.686111
 
1.0%
51244.675063
2.9%
ValueCountFrequency (%)
424882.37541
1.0%
387278.82371
1.0%
348120.52241
1.0%
341870.20531
1.0%
328738.96561
1.0%

total_time10
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7800.096154
Minimum1325
Maximum38710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:30.460415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1325
5-th percentile2849
Q13662.5
median5015
Q37662.5
95-th percentile23283.5
Maximum38710
Range37385
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation7489.718454
Coefficient of variation (CV)0.9602084777
Kurtosis6.323057771
Mean7800.096154
Median Absolute Deviation (MAD)1562.5
Skewness2.525004766
Sum811210
Variance56095882.51
MonotonicityNot monotonic
2025-11-14T18:32:30.556923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31653
 
2.9%
65352
 
1.9%
38701
 
1.0%
334651
 
1.0%
46051
 
1.0%
137251
 
1.0%
26501
 
1.0%
37501
 
1.0%
37901
 
1.0%
39901
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
13251
1.0%
23051
1.0%
26351
1.0%
26501
1.0%
26951
1.0%
ValueCountFrequency (%)
387101
1.0%
352451
1.0%
335701
1.0%
334651
1.0%
320251
1.0%

air_time11
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9226.682692
Minimum250
Maximum569120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:30.649209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum250
5-th percentile644.5
Q11132.5
median2080
Q34292.5
95-th percentile16064.25
Maximum569120
Range568870
Interquartile range (IQR)3160

Descriptive statistics

Standard deviation55617.64368
Coefficient of variation (CV)6.027913339
Kurtosis102.6011408
Mean9226.682692
Median Absolute Deviation (MAD)1317.5
Skewness10.09730326
Sum959575
Variance3093322288
MonotonicityNot monotonic
2025-11-14T18:32:30.737061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16253
 
2.9%
35052
 
1.9%
16202
 
1.9%
10152
 
1.9%
12852
 
1.9%
12702
 
1.9%
10502
 
1.9%
2501
 
1.0%
44351
 
1.0%
9201
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
2501
1.0%
4801
1.0%
4851
1.0%
5451
1.0%
5601
1.0%
ValueCountFrequency (%)
5691201
1.0%
219651
1.0%
205601
1.0%
205351
1.0%
176201
1.0%

disp_index11
Real number (ℝ)

Distinct92
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.025913462 × 10-6
Minimum5.35 × 10-7
Maximum1.25 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:30.823427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5.35 × 10-7
5-th percentile3.894 × 10-6
Q14.9125 × 10-6
median5.56 × 10-6
Q37.1475 × 10-6
95-th percentile9.1885 × 10-6
Maximum1.25 × 10-5
Range1.1965 × 10-5
Interquartile range (IQR)2.235 × 10-6

Descriptive statistics

Standard deviation1.859946727 × 10-6
Coefficient of variation (CV)0.3086580547
Kurtosis0
Mean6.025913462 × 10-6
Median Absolute Deviation (MAD)1.135 × 10-6
Skewness0
Sum0.000626695
Variance3.459401827 × 10-12
MonotonicityNot monotonic
2025-11-14T18:32:30.923442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.24 × 10-63
 
2.9%
5.87 × 10-62
 
1.9%
4.37 × 10-62
 
1.9%
5.37 × 10-62
 
1.9%
4.98 × 10-62
 
1.9%
4.96 × 10-62
 
1.9%
4.13 × 10-62
 
1.9%
5.18 × 10-62
 
1.9%
5.93 × 10-62
 
1.9%
7.71 × 10-62
 
1.9%
Other values (82)83
79.8%
ValueCountFrequency (%)
5.35 × 10-71
1.0%
2.71 × 10-61
1.0%
3.38 × 10-61
1.0%
3.72 × 10-61
1.0%
3.87 × 10-62
1.9%
ValueCountFrequency (%)
1.25 × 10-51
1.0%
1.16 × 10-51
1.0%
1.01 × 10-51
1.0%
9.76 × 10-61
1.0%
9.44 × 10-61
1.0%

gmrt_in_air11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.2351175
Minimum54.4988015
Maximum677.2519332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:31.010748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum54.4988015
5-th percentile74.66640776
Q1117.2432788
median152.4647531
Q3205.7222479
95-th percentile319.918458
Maximum677.2519332
Range622.7531317
Interquartile range (IQR)88.47896907

Descriptive statistics

Standard deviation92.2741364
Coefficient of variation (CV)0.5357451938
Kurtosis8.297564866
Mean172.2351175
Median Absolute Deviation (MAD)48.705264
Skewness2.195221506
Sum17912.45222
Variance8514.516248
MonotonicityNot monotonic
2025-11-14T18:32:31.101074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
119.93885113
 
2.9%
147.30323821
 
1.0%
54.49880151
 
1.0%
160.21769321
 
1.0%
201.77147161
 
1.0%
158.1493461
 
1.0%
141.78401771
 
1.0%
78.577543761
 
1.0%
313.7648621
 
1.0%
127.41586311
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
54.49880151
1.0%
57.523589041
1.0%
70.735551911
1.0%
71.868306011
1.0%
71.954142331
1.0%
ValueCountFrequency (%)
677.25193321
1.0%
424.06035081
1.0%
418.25599291
1.0%
401.70989571
1.0%
344.46359811
1.0%

gmrt_on_paper11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.4576464
Minimum41.83257452
Maximum537.1783013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:31.187556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum41.83257452
5-th percentile70.60334576
Q1148.5392784
median208.0575077
Q3247.6817436
95-th percentile374.1898958
Maximum537.1783013
Range495.3457268
Interquartile range (IQR)99.14246518

Descriptive statistics

Standard deviation90.14005947
Coefficient of variation (CV)0.4366031535
Kurtosis1.104911081
Mean206.4576464
Median Absolute Deviation (MAD)54.69080675
Skewness0.7588161444
Sum21471.59522
Variance8125.230321
MonotonicityNot monotonic
2025-11-14T18:32:31.273965image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
208.75287143
 
2.9%
252.65832871
 
1.0%
87.453575241
 
1.0%
294.78410491
 
1.0%
76.998410571
 
1.0%
279.26411291
 
1.0%
252.62585531
 
1.0%
107.03666571
 
1.0%
345.08173421
 
1.0%
176.86579741
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
41.832574521
1.0%
52.408578991
1.0%
61.635769311
1.0%
65.3652971
1.0%
69.186262741
1.0%
ValueCountFrequency (%)
537.17830131
1.0%
434.76166521
1.0%
407.25601441
1.0%
396.95264561
1.0%
377.85413781
1.0%

max_x_extension11
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2134.028846
Minimum478
Maximum8843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:31.364064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum478
5-th percentile1057.3
Q11555.25
median1926.5
Q32425.25
95-th percentile3442.95
Maximum8843
Range8365
Interquartile range (IQR)870

Descriptive statistics

Standard deviation1136.927955
Coefficient of variation (CV)0.532761287
Kurtosis18.63323781
Mean2134.028846
Median Absolute Deviation (MAD)452
Skewness3.695226716
Sum221939
Variance1292605.174
MonotonicityNot monotonic
2025-11-14T18:32:31.456549image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18193
 
2.9%
23982
 
1.9%
21621
 
1.0%
24621
 
1.0%
23261
 
1.0%
18881
 
1.0%
15601
 
1.0%
18611
 
1.0%
19181
 
1.0%
10511
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
4781
1.0%
6151
1.0%
9221
1.0%
10111
1.0%
10361
1.0%
ValueCountFrequency (%)
88431
1.0%
82061
1.0%
48301
1.0%
47781
1.0%
35011
1.0%

max_y_extension11
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3183.240385
Minimum303
Maximum12572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:31.559489image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum303
5-th percentile1868.6
Q12367.25
median2827.5
Q33654.25
95-th percentile5267.45
Maximum12572
Range12269
Interquartile range (IQR)1287

Descriptive statistics

Standard deviation1411.463191
Coefficient of variation (CV)0.4434045251
Kurtosis19.19222933
Mean3183.240385
Median Absolute Deviation (MAD)550
Skewness3.391326452
Sum331057
Variance1992228.34
MonotonicityNot monotonic
2025-11-14T18:32:31.654643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27654
 
3.8%
25272
 
1.9%
38862
 
1.9%
24271
 
1.0%
18141
 
1.0%
20641
 
1.0%
27611
 
1.0%
21871
 
1.0%
23961
 
1.0%
16251
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
3031
1.0%
16251
1.0%
16691
1.0%
17811
1.0%
18141
1.0%
ValueCountFrequency (%)
125721
1.0%
78081
1.0%
63101
1.0%
61171
1.0%
55361
1.0%

mean_acc_in_air11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3219385406
Minimum0.142092157
Maximum3.715278569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:31.771908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.142092157
5-th percentile0.1669402422
Q10.2003430607
median0.235825675
Q30.3183813923
95-th percentile0.7224456108
Maximum3.715278569
Range3.573186412
Interquartile range (IQR)0.1180383315

Descriptive statistics

Standard deviation0.3712558469
Coefficient of variation (CV)1.153188575
Kurtosis68.96993689
Mean0.3219385406
Median Absolute Deviation (MAD)0.0447740395
Skewness7.695125681
Sum33.48160822
Variance0.1378309039
MonotonicityNot monotonic
2025-11-14T18:32:31.876387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1771851913
 
2.9%
0.2484181541
 
1.0%
0.1628259461
 
1.0%
0.2306252411
 
1.0%
0.2412593831
 
1.0%
0.2742812171
 
1.0%
0.2548829591
 
1.0%
0.3506116361
 
1.0%
0.2326102131
 
1.0%
0.2343320011
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.1420921571
1.0%
0.1430879821
1.0%
0.1509046691
1.0%
0.1599402121
1.0%
0.1628259461
1.0%
ValueCountFrequency (%)
3.7152785691
1.0%
0.8928639031
1.0%
0.8894079261
1.0%
0.8784707541
1.0%
0.7900391421
1.0%

mean_acc_on_paper11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1659699657
Minimum0.084838359
Maximum0.320117178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:31.965993image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.084838359
5-th percentile0.1132630013
Q10.1327870898
median0.160510932
Q30.190257282
95-th percentile0.2446077531
Maximum0.320117178
Range0.235278819
Interquartile range (IQR)0.05747019225

Descriptive statistics

Standard deviation0.0440316675
Coefficient of variation (CV)0.2652990094
Kurtosis0.6868199483
Mean0.1659699657
Median Absolute Deviation (MAD)0.028369611
Skewness0.8605033081
Sum17.26087644
Variance0.001938787743
MonotonicityNot monotonic
2025-11-14T18:32:32.073639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1395270163
 
2.9%
0.2118318431
 
1.0%
0.1125032431
 
1.0%
0.1860885211
 
1.0%
0.1461417941
 
1.0%
0.2348998811
 
1.0%
0.1705477461
 
1.0%
0.1490342611
 
1.0%
0.2789112471
 
1.0%
0.1775130321
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0848383591
1.0%
0.1056255881
1.0%
0.1066815821
1.0%
0.1084376791
1.0%
0.1125032431
1.0%
ValueCountFrequency (%)
0.3201171781
1.0%
0.2789112471
1.0%
0.276955831
1.0%
0.2541153441
1.0%
0.2538798681
1.0%

mean_gmrt11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.3463819
Minimum66.79495582
Maximum469.4077911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:32.166934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum66.79495582
5-th percentile78.18750465
Q1137.2561225
median179.9562755
Q3227.5044815
95-th percentile327.8677104
Maximum469.4077911
Range402.6128353
Interquartile range (IQR)90.248359

Descriptive statistics

Standard deviation77.85438309
Coefficient of variation (CV)0.41117439
Kurtosis1.031740771
Mean189.3463819
Median Absolute Deviation (MAD)45.4607803
Skewness0.9155013147
Sum19692.02372
Variance6061.304967
MonotonicityNot monotonic
2025-11-14T18:32:32.261132image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164.34586123
 
2.9%
199.98078341
 
1.0%
70.976188371
 
1.0%
227.50089911
 
1.0%
139.38494111
 
1.0%
218.70672941
 
1.0%
197.20493651
 
1.0%
92.807104731
 
1.0%
329.42329811
 
1.0%
152.14083031
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
66.794955821
1.0%
70.105178411
1.0%
70.655703021
1.0%
70.976188371
1.0%
74.572017131
1.0%
ValueCountFrequency (%)
469.40779111
1.0%
393.4675871
1.0%
385.5590921
1.0%
354.49413051
1.0%
346.94524291
1.0%

mean_jerk_in_air11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04901426707
Minimum0.020950983
Maximum0.727769634
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:32.345414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.020950983
5-th percentile0.0219453654
Q10.02543321725
median0.0300917045
Q30.045897266
95-th percentile0.12824262
Maximum0.727769634
Range0.706818651
Interquartile range (IQR)0.02046404875

Descriptive statistics

Standard deviation0.07425746469
Coefficient of variation (CV)1.515017344
Kurtosis68.99353438
Mean0.04901426707
Median Absolute Deviation (MAD)0.0065016285
Skewness7.705918246
Sum5.097483775
Variance0.005514171062
MonotonicityNot monotonic
2025-11-14T18:32:32.451023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0290866023
 
2.9%
0.0302707131
 
1.0%
0.0217263841
 
1.0%
0.0277150061
 
1.0%
0.0286546321
 
1.0%
0.040808351
 
1.0%
0.0388601981
 
1.0%
0.0578076071
 
1.0%
0.0305672911
 
1.0%
0.0343269131
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0209509831
1.0%
0.0209869891
1.0%
0.0213333951
1.0%
0.0217263841
1.0%
0.0217643081
1.0%
ValueCountFrequency (%)
0.7277696341
1.0%
0.1665876231
1.0%
0.1653182961
1.0%
0.1627428761
1.0%
0.1389715621
1.0%

mean_jerk_on_paper11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0188510106
Minimum0.011908638
Maximum0.028802354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:32.713154image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.011908638
5-th percentile0.01417545335
Q10.016860328
median0.0183732505
Q30.0209427975
95-th percentile0.02457559575
Maximum0.028802354
Range0.016893716
Interquartile range (IQR)0.0040824695

Descriptive statistics

Standard deviation0.00324073288
Coefficient of variation (CV)0.171912952
Kurtosis0.002646028444
Mean0.0188510106
Median Absolute Deviation (MAD)0.00217213
Skewness0.4176059713
Sum1.960505102
Variance1.05023496 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:32.798056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0168603283
 
2.9%
0.0239386091
 
1.0%
0.0149235071
 
1.0%
0.0205797451
 
1.0%
0.017334381
 
1.0%
0.0245628161
 
1.0%
0.0218982871
 
1.0%
0.0179690671
 
1.0%
0.0259452321
 
1.0%
0.0223020691
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0119086381
1.0%
0.013019791
1.0%
0.0132509241
1.0%
0.0134958711
1.0%
0.0136027141
1.0%
ValueCountFrequency (%)
0.0288023541
1.0%
0.0259452321
1.0%
0.0252913061
1.0%
0.0252610171
1.0%
0.0247607041
1.0%

mean_speed_in_air11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.931889981
Minimum0.973165922
Maximum11.80678303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:32.895182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.973165922
5-th percentile1.289639252
Q11.972388547
median2.519999257
Q33.498501715
95-th percentile5.456456887
Maximum11.80678303
Range10.83361711
Interquartile range (IQR)1.526113167

Descriptive statistics

Standard deviation1.516639348
Coefficient of variation (CV)0.5172906752
Kurtosis10.74458946
Mean2.931889981
Median Absolute Deviation (MAD)0.7683491525
Skewness2.436853098
Sum304.9165581
Variance2.300194912
MonotonicityNot monotonic
2025-11-14T18:32:32.986677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3752228773
 
2.9%
3.3685478621
 
1.0%
0.9731659221
 
1.0%
3.1162461321
 
1.0%
4.2957907091
 
1.0%
3.3436767941
 
1.0%
2.326340931
 
1.0%
1.5946322261
 
1.0%
5.4608215881
 
1.0%
2.2858545611
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.9731659221
1.0%
0.9814735261
1.0%
1.1174452251
1.0%
1.1567978231
1.0%
1.1836196661
1.0%
ValueCountFrequency (%)
11.806783031
1.0%
7.2388972611
1.0%
6.1992701991
1.0%
6.0003992291
1.0%
5.6364424211
1.0%

mean_speed_on_paper11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.970801364
Minimum0.654949023
Maximum10.14024846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:33.077085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.654949023
5-th percentile1.391858579
Q12.643580994
median3.881326241
Q34.925668479
95-th percentile7.351581538
Maximum10.14024846
Range9.485299437
Interquartile range (IQR)2.282087485

Descriptive statistics

Standard deviation1.831546252
Coefficient of variation (CV)0.4612535566
Kurtosis0.5404146924
Mean3.970801364
Median Absolute Deviation (MAD)1.143505968
Skewness0.6812858147
Sum412.9633419
Variance3.354561672
MonotonicityNot monotonic
2025-11-14T18:32:33.170037image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0192434913
 
2.9%
5.1673685871
 
1.0%
1.6460437371
 
1.0%
5.6283164191
 
1.0%
1.3745510281
 
1.0%
5.6279842521
 
1.0%
5.093870991
 
1.0%
2.1592685521
 
1.0%
7.292617661
 
1.0%
3.3401232171
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.6549490231
1.0%
0.8234536211
1.0%
1.1735849081
1.0%
1.2251827441
1.0%
1.2743200411
1.0%
ValueCountFrequency (%)
10.140248461
1.0%
8.8157455791
1.0%
7.9715693141
1.0%
7.3922409921
1.0%
7.3632781351
1.0%

num_of_pendown11
Real number (ℝ)

Distinct14
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.663461538
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:33.239686image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile10.85
Maximum19
Range18
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.948129494
Coefficient of variation (CV)0.5205525762
Kurtosis4.835712499
Mean5.663461538
Median Absolute Deviation (MAD)2
Skewness1.591205425
Sum589
Variance8.691467513
MonotonicityNot monotonic
2025-11-14T18:32:33.303085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
419
18.3%
518
17.3%
714
13.5%
614
13.5%
310
9.6%
26
 
5.8%
86
 
5.8%
95
 
4.8%
14
 
3.8%
112
 
1.9%
Other values (4)6
 
5.8%
ValueCountFrequency (%)
14
 
3.8%
26
 
5.8%
310
9.6%
419
18.3%
518
17.3%
ValueCountFrequency (%)
191
1.0%
171
1.0%
122
1.9%
112
1.9%
102
1.9%

paper_time11
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3591.394231
Minimum440
Maximum19635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:33.394985image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum440
5-th percentile1677.25
Q12407.5
median2880
Q34076.25
95-th percentile7364.5
Maximum19635
Range19195
Interquartile range (IQR)1668.75

Descriptive statistics

Standard deviation2405.071649
Coefficient of variation (CV)0.6696763137
Kurtosis19.887464
Mean3591.394231
Median Absolute Deviation (MAD)687.5
Skewness3.722187063
Sum373505
Variance5784369.639
MonotonicityNot monotonic
2025-11-14T18:32:33.501513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25153
 
2.9%
29402
 
1.9%
20452
 
1.9%
27302
 
1.9%
51702
 
1.9%
27002
 
1.9%
28802
 
1.9%
16052
 
1.9%
55001
 
1.0%
30551
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
4401
1.0%
13201
1.0%
16052
1.9%
16251
1.0%
16751
1.0%
ValueCountFrequency (%)
196351
1.0%
111901
1.0%
111401
1.0%
86351
1.0%
75501
1.0%

pressure_mean11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1683.106402
Minimum341.3863636
Maximum2031.075721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:33.589707image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum341.3863636
5-th percentile968.593357
Q11591.140215
median1826.556973
Q31908.497286
95-th percentile1992.427355
Maximum2031.075721
Range1689.689357
Interquartile range (IQR)317.3570703

Descriptive statistics

Standard deviation345.3017432
Coefficient of variation (CV)0.2051574059
Kurtosis2.971284709
Mean1683.106402
Median Absolute Deviation (MAD)123.0288055
Skewness-1.759698475
Sum175043.0658
Variance119233.2939
MonotonicityNot monotonic
2025-11-14T18:32:33.697894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1918.4930423
 
2.9%
1880.8328361
 
1.0%
1212.5787271
 
1.0%
1551.2506671
 
1.0%
1253.3848581
 
1.0%
1824.2025971
 
1.0%
1806.3490761
 
1.0%
1877.3215771
 
1.0%
1916.7673181
 
1.0%
1712.2100691
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
341.38636361
1.0%
548.58725761
1.0%
687.79576111
1.0%
758.80851061
1.0%
894.54443451
1.0%
ValueCountFrequency (%)
2031.0757211
1.0%
2029.2358641
1.0%
2021.72321
1.0%
2007.7361111
1.0%
2001.6707691
1.0%

pressure_var11
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147613.1363
Minimum3597.418905
Maximum576735.9492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:33.789721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3597.418905
5-th percentile46269.06096
Q1106535.9033
median140469.9184
Q3184019.0631
95-th percentile274712.3246
Maximum576735.9492
Range573138.5303
Interquartile range (IQR)77483.15985

Descriptive statistics

Standard deviation79903.99325
Coefficient of variation (CV)0.5413067919
Kurtosis7.42462697
Mean147613.1363
Median Absolute Deviation (MAD)40409.8029
Skewness1.74046326
Sum15351766.17
Variance6384648137
MonotonicityNot monotonic
2025-11-14T18:32:33.886557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131792.5723
 
2.9%
106021.52431
 
1.0%
198145.93391
 
1.0%
175583.22781
 
1.0%
176448.77931
 
1.0%
140703.36671
 
1.0%
130174.42431
 
1.0%
146508.3261
 
1.0%
110264.44851
 
1.0%
152171.48191
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
3597.4189051
1.0%
11171.295951
1.0%
14792.183461
1.0%
23986.622581
1.0%
42129.088531
1.0%
ValueCountFrequency (%)
576735.94921
1.0%
359626.20421
1.0%
344558.87411
1.0%
299066.21141
1.0%
295267.08031
1.0%

total_time11
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12818.07692
Minimum1000
Maximum571545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:34.010301image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2625.25
Q13648.75
median5430
Q38256.25
95-th percentile21596.25
Maximum571545
Range570545
Interquartile range (IQR)4607.5

Descriptive statistics

Standard deviation55671.1106
Coefficient of variation (CV)4.343171829
Kurtosis101.3219525
Mean12818.07692
Median Absolute Deviation (MAD)2102.5
Skewness10.0060885
Sum1333080
Variance3099272555
MonotonicityNot monotonic
2025-11-14T18:32:34.094643image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41403
 
2.9%
38502
 
1.9%
30102
 
1.9%
64652
 
1.9%
76351
 
1.0%
41201
 
1.0%
107351
 
1.0%
34951
 
1.0%
104601
 
1.0%
33551
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
10001
1.0%
23201
1.0%
24751
1.0%
24901
1.0%
25901
1.0%
ValueCountFrequency (%)
5715451
1.0%
401701
1.0%
293551
1.0%
259251
1.0%
249151
1.0%

air_time12
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6381.307692
Minimum145
Maximum301115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:34.190525image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum145
5-th percentile385
Q11103.75
median1992.5
Q33552.5
95-th percentile13469.5
Maximum301115
Range300970
Interquartile range (IQR)2448.75

Descriptive statistics

Standard deviation29651.55509
Coefficient of variation (CV)4.64662676
Kurtosis97.38286202
Mean6381.307692
Median Absolute Deviation (MAD)955
Skewness9.732444039
Sum663656
Variance879214719.2
MonotonicityNot monotonic
2025-11-14T18:32:34.281950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3502
 
1.9%
11052
 
1.9%
9102
 
1.9%
10252
 
1.9%
3852
 
1.9%
13152
 
1.9%
10792
 
1.9%
20852
 
1.9%
10502
 
1.9%
7301
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
1451
1.0%
2601
1.0%
3201
1.0%
3502
1.9%
3852
1.9%
ValueCountFrequency (%)
3011151
1.0%
313301
1.0%
312351
1.0%
236501
1.0%
161601
1.0%

disp_index12
Real number (ℝ)

Distinct93
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.064423077 × 10-6
Minimum2.53 × 10-6
Maximum1.52 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:34.371893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.53 × 10-6
5-th percentile4.8445 × 10-6
Q15.7675 × 10-6
median6.775 × 10-6
Q37.985 × 10-6
95-th percentile1.0385 × 10-5
Maximum1.52 × 10-5
Range1.267 × 10-5
Interquartile range (IQR)2.2175 × 10-6

Descriptive statistics

Standard deviation1.997665058 × 10-6
Coefficient of variation (CV)0.2827782306
Kurtosis0
Mean7.064423077 × 10-6
Median Absolute Deviation (MAD)1.185 × 10-6
Skewness0
Sum0.0007347
Variance3.990665683 × 10-12
MonotonicityNot monotonic
2025-11-14T18:32:34.465694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.83 × 10-63
 
2.9%
6.63 × 10-63
 
2.9%
7 × 10-63
 
2.9%
5.97 × 10-62
 
1.9%
5.48 × 10-62
 
1.9%
7.97 × 10-62
 
1.9%
6.94 × 10-62
 
1.9%
5.9 × 10-62
 
1.9%
7.11 × 10-61
 
1.0%
5.86 × 10-61
 
1.0%
Other values (83)83
79.8%
ValueCountFrequency (%)
2.53 × 10-61
1.0%
4.02 × 10-61
1.0%
4.07 × 10-61
1.0%
4.32 × 10-61
1.0%
4.67 × 10-61
1.0%
ValueCountFrequency (%)
1.52 × 10-51
1.0%
1.27 × 10-51
1.0%
1.24 × 10-51
1.0%
1.19 × 10-51
1.0%
1.14 × 10-51
1.0%

gmrt_in_air12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.1486479
Minimum65.50232728
Maximum2160.130164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:34.553313image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum65.50232728
5-th percentile95.82192732
Q1157.5014504
median231.0909379
Q3313.7540769
95-th percentile699.1879371
Maximum2160.130164
Range2094.627837
Interquartile range (IQR)156.2526265

Descriptive statistics

Standard deviation275.4522789
Coefficient of variation (CV)0.9301149299
Kurtosis21.54406641
Mean296.1486479
Median Absolute Deviation (MAD)82.300955
Skewness3.991413115
Sum30799.45939
Variance75873.95797
MonotonicityNot monotonic
2025-11-14T18:32:34.632363image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1123.1364012
 
1.9%
377.1961772
 
1.9%
65.502327281
 
1.0%
130.49016891
 
1.0%
195.48233551
 
1.0%
272.26790321
 
1.0%
313.40173061
 
1.0%
305.43871561
 
1.0%
269.03662851
 
1.0%
341.03020991
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
65.502327281
1.0%
77.611444351
1.0%
84.959590741
1.0%
85.892446711
1.0%
87.973187941
1.0%
ValueCountFrequency (%)
2160.1301641
1.0%
1180.7793881
1.0%
1123.1364012
1.9%
778.77888011
1.0%
708.78641741
1.0%

gmrt_on_paper12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.4432446
Minimum12.49446522
Maximum406.0573247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:34.732706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum12.49446522
5-th percentile49.58164232
Q178.10656846
median127.3059073
Q3172.8240972
95-th percentile253.4119033
Maximum406.0573247
Range393.5628595
Interquartile range (IQR)94.71752869

Descriptive statistics

Standard deviation65.99038145
Coefficient of variation (CV)0.498254038
Kurtosis1.835838278
Mean132.4432446
Median Absolute Deviation (MAD)47.65148635
Skewness0.979665822
Sum13774.09744
Variance4354.730443
MonotonicityNot monotonic
2025-11-14T18:32:34.979621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
137.6587732
 
1.9%
67.36668142
 
1.9%
42.756591161
 
1.0%
191.25050541
 
1.0%
54.766311731
 
1.0%
148.33480471
 
1.0%
61.281940681
 
1.0%
254.99889961
 
1.0%
73.760096731
 
1.0%
96.552197751
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
12.494465221
1.0%
41.560733081
1.0%
42.756591161
1.0%
42.830832531
1.0%
46.703435461
1.0%
ValueCountFrequency (%)
406.05732471
1.0%
287.22987861
1.0%
274.02501681
1.0%
273.59381171
1.0%
260.23321321
1.0%

max_x_extension12
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean945.7788462
Minimum243
Maximum2189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:35.064849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum243
5-th percentile448
Q1660
median913
Q31164.25
95-th percentile1619.85
Maximum2189
Range1946
Interquartile range (IQR)504.25

Descriptive statistics

Standard deviation383.4174879
Coefficient of variation (CV)0.4053986717
Kurtosis0.03252382961
Mean945.7788462
Median Absolute Deviation (MAD)255.5
Skewness0.6555946754
Sum98361
Variance147008.97
MonotonicityNot monotonic
2025-11-14T18:32:35.164725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9182
 
1.9%
12672
 
1.9%
4482
 
1.9%
8592
 
1.9%
7862
 
1.9%
16612
 
1.9%
9471
 
1.0%
8401
 
1.0%
8651
 
1.0%
15691
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
2431
1.0%
3581
1.0%
4111
1.0%
4161
1.0%
4461
1.0%
ValueCountFrequency (%)
21891
1.0%
17861
1.0%
17281
1.0%
16612
1.9%
16231
1.0%

max_y_extension12
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4982.778846
Minimum2131
Maximum8855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:35.253900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2131
5-th percentile3001.35
Q13877
median4777
Q35741.75
95-th percentile7669.9
Maximum8855
Range6724
Interquartile range (IQR)1864.75

Descriptive statistics

Standard deviation1492.279835
Coefficient of variation (CV)0.299487471
Kurtosis-0.08687522442
Mean4982.778846
Median Absolute Deviation (MAD)900.5
Skewness0.6196308669
Sum518209
Variance2226899.106
MonotonicityNot monotonic
2025-11-14T18:32:35.342443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75052
 
1.9%
33782
 
1.9%
51872
 
1.9%
38772
 
1.9%
55732
 
1.9%
46552
 
1.9%
38351
 
1.0%
88551
 
1.0%
32951
 
1.0%
53641
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
21311
1.0%
21541
1.0%
27121
1.0%
28091
1.0%
29671
1.0%
ValueCountFrequency (%)
88551
1.0%
86761
1.0%
84241
1.0%
82301
1.0%
81031
1.0%

mean_acc_in_air12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3499929043
Minimum0.152399915
Maximum1.36375272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:35.431039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.152399915
5-th percentile0.1796260638
Q10.2128710795
median0.253347703
Q30.3425327732
95-th percentile0.80878307
Maximum1.36375272
Range1.211352805
Interquartile range (IQR)0.1296616937

Descriptive statistics

Standard deviation0.2476527254
Coefficient of variation (CV)0.7075935608
Kurtosis5.208845563
Mean0.3499929043
Median Absolute Deviation (MAD)0.054520858
Skewness2.342835962
Sum36.39926205
Variance0.06133187241
MonotonicityNot monotonic
2025-11-14T18:32:35.519208image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3351771052
 
1.9%
0.2146714732
 
1.9%
0.1901314411
 
1.0%
0.2198412651
 
1.0%
0.1640847851
 
1.0%
0.3676809411
 
1.0%
0.2288402841
 
1.0%
0.2944297131
 
1.0%
0.3518562321
 
1.0%
0.2030171971
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.1523999151
1.0%
0.1640847851
1.0%
0.1651276621
1.0%
0.1715633741
1.0%
0.1765897911
1.0%
ValueCountFrequency (%)
1.363752721
1.0%
1.1972032821
1.0%
1.1617888581
1.0%
1.149725121
1.0%
1.1153514381
1.0%

mean_acc_on_paper12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1542082877
Minimum0.061440597
Maximum0.308318574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:35.606283image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.061440597
5-th percentile0.1078474151
Q10.1266049037
median0.1505109985
Q30.1766105847
95-th percentile0.2235316978
Maximum0.308318574
Range0.246877977
Interquartile range (IQR)0.050005681

Descriptive statistics

Standard deviation0.03893951358
Coefficient of variation (CV)0.2525124568
Kurtosis2.01634303
Mean0.1542082877
Median Absolute Deviation (MAD)0.0258088695
Skewness0.9352015999
Sum16.03766192
Variance0.001516285718
MonotonicityNot monotonic
2025-11-14T18:32:35.695381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1213578652
 
1.9%
0.1079308062
 
1.9%
0.1295635031
 
1.0%
0.1471001661
 
1.0%
0.1108507551
 
1.0%
0.1411858891
 
1.0%
0.1115301761
 
1.0%
0.1762588051
 
1.0%
0.1426671411
 
1.0%
0.1082423251
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0614405971
1.0%
0.0886624791
1.0%
0.0902243581
1.0%
0.1050667991
1.0%
0.1063838331
1.0%
ValueCountFrequency (%)
0.3083185741
1.0%
0.2554355431
1.0%
0.2531687161
1.0%
0.246979121
1.0%
0.2286198311
1.0%

mean_gmrt12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.2959463
Minimum54.12945922
Maximum1177.51467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:35.778614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum54.12945922
5-th percentile86.84342231
Q1124.8537335
median179.9502711
Q3250.4789417
95-th percentile432.1773523
Maximum1177.51467
Range1123.385211
Interquartile range (IQR)125.6252082

Descriptive statistics

Standard deviation149.4777145
Coefficient of variation (CV)0.6975293613
Kurtosis17.23980894
Mean214.2959463
Median Absolute Deviation (MAD)58.79922345
Skewness3.387629102
Sum22286.77841
Variance22343.58715
MonotonicityNot monotonic
2025-11-14T18:32:35.873321image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
630.39758712
 
1.9%
222.28142922
 
1.9%
54.129459221
 
1.0%
160.87033721
 
1.0%
125.12432361
 
1.0%
210.30135391
 
1.0%
187.34183571
 
1.0%
280.21880761
 
1.0%
171.39836261
 
1.0%
218.79120381
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
54.129459221
1.0%
56.903717841
1.0%
65.159200811
1.0%
75.038993781
1.0%
82.052089641
1.0%
ValueCountFrequency (%)
1177.514671
1.0%
683.76795561
1.0%
630.39758712
1.9%
466.23168391
1.0%
435.27456531
1.0%

mean_jerk_in_air12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05230592189
Minimum0.01923966
Maximum0.254204909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:35.962774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01923966
5-th percentile0.02153177005
Q10.0265963125
median0.032009672
Q30.051266046
95-th percentile0.1452999717
Maximum0.254204909
Range0.234965249
Interquartile range (IQR)0.0246697335

Descriptive statistics

Standard deviation0.04861026273
Coefficient of variation (CV)0.9293453011
Kurtosis5.727477217
Mean0.05230592189
Median Absolute Deviation (MAD)0.00841285
Skewness2.460666468
Sum5.439815877
Variance0.002362957643
MonotonicityNot monotonic
2025-11-14T18:32:36.050621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0512660462
 
1.9%
0.0270665342
 
1.9%
0.0201601191
 
1.0%
0.0265757911
 
1.0%
0.0215165261
 
1.0%
0.0579161351
 
1.0%
0.0311069251
 
1.0%
0.0470534551
 
1.0%
0.0341819691
 
1.0%
0.0305231971
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.019239661
1.0%
0.0195538851
1.0%
0.0201601191
1.0%
0.0211855171
1.0%
0.0212657931
1.0%
ValueCountFrequency (%)
0.2542049091
1.0%
0.2267661481
1.0%
0.2163886661
1.0%
0.2060686261
1.0%
0.2004642771
1.0%

mean_jerk_on_paper12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01845412636
Minimum0.007733309
Maximum0.027225971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:36.133835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.007733309
5-th percentile0.01318476715
Q10.0157174365
median0.018063569
Q30.0211885085
95-th percentile0.0248408646
Maximum0.027225971
Range0.019492662
Interquartile range (IQR)0.005471072

Descriptive statistics

Standard deviation0.00381896207
Coefficient of variation (CV)0.206943531
Kurtosis-0.2184527667
Mean0.01845412636
Median Absolute Deviation (MAD)0.002510826
Skewness0.1418763919
Sum1.919229141
Variance1.458447129 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:36.249255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0145464772
 
1.9%
0.0134321692
 
1.9%
0.0154897171
 
1.0%
0.0177112871
 
1.0%
0.0146848531
 
1.0%
0.019476211
 
1.0%
0.0131411081
 
1.0%
0.019286861
 
1.0%
0.0176131421
 
1.0%
0.0127837641
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0077333091
1.0%
0.0099627311
1.0%
0.0122869591
1.0%
0.0127668181
1.0%
0.0127837641
1.0%
ValueCountFrequency (%)
0.0272259711
1.0%
0.0266233091
1.0%
0.026548521
1.0%
0.0254932241
1.0%
0.0251216841
1.0%

mean_speed_in_air12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.338980565
Minimum0.849951141
Maximum11.90983833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:36.344619image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.849951141
5-th percentile1.505003863
Q12.039816904
median2.785619256
Q33.991872827
95-th percentile6.577190625
Maximum11.90983833
Range11.05988719
Interquartile range (IQR)1.952055923

Descriptive statistics

Standard deviation2.010187736
Coefficient of variation (CV)0.6020363691
Kurtosis5.894714681
Mean3.338980565
Median Absolute Deviation (MAD)0.9328107515
Skewness2.206760786
Sum347.2539788
Variance4.040854734
MonotonicityNot monotonic
2025-11-14T18:32:36.427176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.0747645722
 
1.9%
4.9714177512
 
1.9%
0.8499511411
 
1.0%
1.691524921
 
1.0%
2.7406459211
 
1.0%
3.2749114451
 
1.0%
2.9665794211
 
1.0%
4.0368598741
 
1.0%
3.1464962021
 
1.0%
3.5072489341
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.8499511411
1.0%
0.8613809741
1.0%
1.2819036221
1.0%
1.3671030691
1.0%
1.4484048861
1.0%
ValueCountFrequency (%)
11.909838331
1.0%
10.741483731
1.0%
10.397019551
1.0%
9.8254134751
1.0%
8.9567878781
1.0%

mean_speed_on_paper12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7126605
Minimum0.230606127
Maximum8.596851725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:36.509532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.230606127
5-th percentile0.9796314736
Q11.537362873
median2.450791231
Q33.606374016
95-th percentile4.994114319
Maximum8.596851725
Range8.366245598
Interquartile range (IQR)2.069011143

Descriptive statistics

Standard deviation1.418714509
Coefficient of variation (CV)0.5229974443
Kurtosis1.882457841
Mean2.7126605
Median Absolute Deviation (MAD)1.054418089
Skewness1.008301629
Sum282.116692
Variance2.012750857
MonotonicityNot monotonic
2025-11-14T18:32:36.592517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9143940362
 
1.9%
1.3225224242
 
1.9%
0.8511578841
 
1.0%
3.9833619251
 
1.0%
1.0884112331
 
1.0%
3.2324362371
 
1.0%
1.2491536051
 
1.0%
5.1237111551
 
1.0%
1.5566668121
 
1.0%
2.0070540321
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.2306061271
1.0%
0.8133655861
1.0%
0.8511578841
1.0%
0.8899397231
1.0%
0.9366547361
1.0%
ValueCountFrequency (%)
8.5968517251
1.0%
6.3632648281
1.0%
6.0109890481
1.0%
5.7490472591
1.0%
5.1237111551
1.0%

num_of_pendown12
Real number (ℝ)

Distinct15
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.730769231
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:36.656485image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile9.85
Maximum21
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.580504844
Coefficient of variation (CV)0.7568546824
Kurtosis7.860032314
Mean4.730769231
Median Absolute Deviation (MAD)1
Skewness2.427984146
Sum492
Variance12.82001494
MonotonicityNot monotonic
2025-11-14T18:32:36.727982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
325
24.0%
415
14.4%
515
14.4%
114
13.5%
79
 
8.7%
69
 
8.7%
26
 
5.8%
93
 
2.9%
82
 
1.9%
181
 
1.0%
Other values (5)5
 
4.8%
ValueCountFrequency (%)
114
13.5%
26
 
5.8%
325
24.0%
415
14.4%
515
14.4%
ValueCountFrequency (%)
211
1.0%
201
1.0%
181
1.0%
151
1.0%
121
1.0%

paper_time12
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4983.846154
Minimum1200
Maximum20005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:36.806505image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile2442.25
Q13211.25
median4257.5
Q35772.5
95-th percentile10088.5
Maximum20005
Range18805
Interquartile range (IQR)2561.25

Descriptive statistics

Standard deviation2918.754492
Coefficient of variation (CV)0.5856429756
Kurtosis8.503584453
Mean4983.846154
Median Absolute Deviation (MAD)1300
Skewness2.520088876
Sum518320
Variance8519127.782
MonotonicityNot monotonic
2025-11-14T18:32:37.056574image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37502
 
1.9%
32652
 
1.9%
28752
 
1.9%
69502
 
1.9%
30851
 
1.0%
36501
 
1.0%
60551
 
1.0%
35651
 
1.0%
37601
 
1.0%
41951
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
12001
1.0%
21151
1.0%
21901
1.0%
22751
1.0%
23151
1.0%
ValueCountFrequency (%)
200051
1.0%
158151
1.0%
141501
1.0%
133001
1.0%
120701
1.0%

pressure_mean12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1709.596758
Minimum650.112532
Maximum2041.522667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:37.139881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum650.112532
5-th percentile986.3960241
Q11532.513173
median1858.30057
Q31965.877054
95-th percentile2012.882824
Maximum2041.522667
Range1391.410135
Interquartile range (IQR)433.363881

Descriptive statistics

Standard deviation337.5145041
Coefficient of variation (CV)0.1974234582
Kurtosis1.223034469
Mean1709.596758
Median Absolute Deviation (MAD)125.425133
Skewness-1.376369806
Sum177798.0628
Variance113916.0405
MonotonicityNot monotonic
2025-11-14T18:32:37.229621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2041.5226672
 
1.9%
1978.1223022
 
1.9%
1567.1115151
 
1.0%
1499.71
 
1.0%
1396.3311311
 
1.0%
1517.549791
 
1.0%
2021.2034571
 
1.0%
1954.0846251
 
1.0%
1912.1301631
 
1.0%
2013.1339681
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
650.1125321
1.0%
680.22870811
1.0%
733.10532411
1.0%
900.68145621
1.0%
931.73421051
1.0%
ValueCountFrequency (%)
2041.5226672
1.9%
2038.8829371
1.0%
2029.5981091
1.0%
2021.2034571
1.0%
2013.1339681
1.0%

pressure_var12
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116973.6745
Minimum3698.297486
Maximum439253.8593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:37.316775image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3698.297486
5-th percentile22629.10907
Q159587.08249
median102924.7003
Q3149673.3818
95-th percentile249608.3827
Maximum439253.8593
Range435555.5618
Interquartile range (IQR)90086.29926

Descriptive statistics

Standard deviation78002.60536
Coefficient of variation (CV)0.6668389764
Kurtosis2.725129384
Mean116973.6745
Median Absolute Deviation (MAD)45385.86985
Skewness1.34267087
Sum12165262.15
Variance6084406443
MonotonicityNot monotonic
2025-11-14T18:32:37.406347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3698.2974862
 
1.9%
85074.685762
 
1.9%
94043.708781
 
1.0%
152578.32511
 
1.0%
86040.804471
 
1.0%
145491.01611
 
1.0%
19118.430681
 
1.0%
69674.511311
 
1.0%
134201.09191
 
1.0%
22582.041351
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
3698.2974862
1.9%
8453.5702911
1.0%
15344.58081
1.0%
19118.430681
1.0%
22582.041351
1.0%
ValueCountFrequency (%)
439253.85931
1.0%
350654.46171
1.0%
335915.6711
1.0%
317944.16051
1.0%
255904.89851
1.0%

total_time12
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11365.15385
Minimum1345
Maximum315265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:37.489638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1345
5-th percentile3219.25
Q14500
median6240
Q38516.25
95-th percentile24152.5
Maximum315265
Range313920
Interquartile range (IQR)4016.25

Descriptive statistics

Standard deviation30928.23219
Coefficient of variation (CV)2.721321032
Kurtosis92.86591333
Mean11365.15385
Median Absolute Deviation (MAD)1872
Skewness9.410260808
Sum1181976
Variance956555546.6
MonotonicityNot monotonic
2025-11-14T18:32:37.576895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80292
 
1.9%
59752
 
1.9%
41002
 
1.9%
44152
 
1.9%
44252
 
1.9%
88952
 
1.9%
36701
 
1.0%
56701
 
1.0%
81151
 
1.0%
57101
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
13451
1.0%
26751
1.0%
27851
1.0%
30451
1.0%
31401
1.0%
ValueCountFrequency (%)
3152651
1.0%
386851
1.0%
375451
1.0%
369501
1.0%
361651
1.0%

air_time13
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3168.076923
Minimum220
Maximum20465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:37.670552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum220
5-th percentile755.75
Q11225
median1750
Q33531.25
95-th percentile11039.25
Maximum20465
Range20245
Interquartile range (IQR)2306.25

Descriptive statistics

Standard deviation3659.96527
Coefficient of variation (CV)1.155264016
Kurtosis7.901484861
Mean3168.076923
Median Absolute Deviation (MAD)722.5
Skewness2.69064744
Sum329480
Variance13395345.78
MonotonicityNot monotonic
2025-11-14T18:32:37.756374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21853
 
2.9%
13103
 
2.9%
15202
 
1.9%
130851
 
1.0%
19901
 
1.0%
160201
 
1.0%
17551
 
1.0%
19051
 
1.0%
45251
 
1.0%
14501
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
2201
1.0%
3401
1.0%
3601
1.0%
3901
1.0%
6151
1.0%
ValueCountFrequency (%)
204651
1.0%
179751
1.0%
160201
1.0%
130851
1.0%
110901
1.0%

disp_index13
Real number (ℝ)

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.046730769 × 10-6
Minimum2.2 × 10-6
Maximum1.4 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:37.847339image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.2 × 10-6
5-th percentile4.8205 × 10-6
Q15.61 × 10-6
median6.685 × 10-6
Q38.0075 × 10-6
95-th percentile1.03 × 10-5
Maximum1.4 × 10-5
Range1.18 × 10-5
Interquartile range (IQR)2.3975 × 10-6

Descriptive statistics

Standard deviation1.892110571 × 10-6
Coefficient of variation (CV)0.2685089913
Kurtosis0
Mean7.046730769 × 10-6
Median Absolute Deviation (MAD)1.205 × 10-6
Skewness0
Sum0.00073286
Variance3.580082412 × 10-12
MonotonicityNot monotonic
2025-11-14T18:32:37.940389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.41 × 10-64
 
3.8%
4.88 × 10-62
 
1.9%
5.5 × 10-62
 
1.9%
1.03 × 10-52
 
1.9%
6.26 × 10-62
 
1.9%
7.71 × 10-62
 
1.9%
5.58 × 10-62
 
1.9%
7.98 × 10-62
 
1.9%
8.03 × 10-61
 
1.0%
4.17 × 10-61
 
1.0%
Other values (84)84
80.8%
ValueCountFrequency (%)
2.2 × 10-61
1.0%
4.15 × 10-61
1.0%
4.17 × 10-61
1.0%
4.4 × 10-61
1.0%
4.67 × 10-61
1.0%
ValueCountFrequency (%)
1.4 × 10-51
1.0%
1.18 × 10-51
1.0%
1.16 × 10-51
1.0%
1.07 × 10-51
1.0%
1.06 × 10-51
1.0%

gmrt_in_air13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.4654708
Minimum52.1579077
Maximum1089.277686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:38.023801image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum52.1579077
5-th percentile88.01884363
Q1136.4038893
median213.0000035
Q3289.0481672
95-th percentile506.302568
Maximum1089.277686
Range1037.119778
Interquartile range (IQR)152.6442779

Descriptive statistics

Standard deviation179.7645384
Coefficient of variation (CV)0.7234990756
Kurtosis9.688563004
Mean248.4654708
Median Absolute Deviation (MAD)76.06347205
Skewness2.830304694
Sum25840.40896
Variance32315.28927
MonotonicityNot monotonic
2025-11-14T18:32:38.106414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.75410843
 
2.9%
133.84059341
 
1.0%
52.15790771
 
1.0%
145.82667211
 
1.0%
170.26188841
 
1.0%
176.59375861
 
1.0%
90.616063651
 
1.0%
115.81321471
 
1.0%
256.51422581
 
1.0%
379.07580431
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
52.15790771
1.0%
58.910553391
1.0%
68.300031591
1.0%
73.803609111
1.0%
75.946370891
1.0%
ValueCountFrequency (%)
1089.2776861
1.0%
1006.5113311
1.0%
990.86544881
1.0%
815.6757981
1.0%
685.40436461
1.0%

gmrt_on_paper13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.6031901
Minimum39.5720902
Maximum470.5044049
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:38.199072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum39.5720902
5-th percentile52.10219734
Q192.45840104
median129.1512877
Q3176.8282085
95-th percentile234.6424882
Maximum470.5044049
Range430.9323147
Interquartile range (IQR)84.36980747

Descriptive statistics

Standard deviation67.76396783
Coefficient of variation (CV)0.4924592793
Kurtosis4.840734222
Mean137.6031901
Median Absolute Deviation (MAD)43.44511397
Skewness1.454761197
Sum14310.73177
Variance4591.955336
MonotonicityNot monotonic
2025-11-14T18:32:38.274077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168.53880623
 
2.9%
154.44883841
 
1.0%
58.139644861
 
1.0%
195.74096381
 
1.0%
51.875492871
 
1.0%
162.36601211
 
1.0%
102.56056751
 
1.0%
53.386856011
 
1.0%
333.63146221
 
1.0%
163.7251331
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
39.57209021
1.0%
45.821781571
1.0%
48.260713461
1.0%
49.875303081
1.0%
50.61590171
1.0%
ValueCountFrequency (%)
470.50440491
1.0%
333.63146221
1.0%
281.68138581
1.0%
278.90534411
1.0%
263.21804131
1.0%

max_x_extension13
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean903.9903846
Minimum296
Maximum7400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:38.373087image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum296
5-th percentile443.15
Q1639.25
median765
Q3991.25
95-th percentile1492.75
Maximum7400
Range7104
Interquartile range (IQR)352

Descriptive statistics

Standard deviation732.3761368
Coefficient of variation (CV)0.810159211
Kurtosis61.12272549
Mean903.9903846
Median Absolute Deviation (MAD)192
Skewness7.092304328
Sum94015
Variance536374.8057
MonotonicityNot monotonic
2025-11-14T18:32:38.468663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7343
 
2.9%
7232
 
1.9%
7692
 
1.9%
10252
 
1.9%
5312
 
1.9%
10541
 
1.0%
6951
 
1.0%
7121
 
1.0%
6771
 
1.0%
4091
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
2961
1.0%
3911
1.0%
4091
1.0%
4201
1.0%
4411
1.0%
ValueCountFrequency (%)
74001
1.0%
26441
1.0%
22601
1.0%
17691
1.0%
15911
1.0%

max_y_extension13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4806.115385
Minimum2308
Maximum10638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:38.560864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2308
5-th percentile2774.4
Q13603
median4488.5
Q35590.25
95-th percentile7676.65
Maximum10638
Range8330
Interquartile range (IQR)1987.25

Descriptive statistics

Standard deviation1654.597862
Coefficient of variation (CV)0.3442692755
Kurtosis2.039284433
Mean4806.115385
Median Absolute Deviation (MAD)954
Skewness1.286308128
Sum499836
Variance2737694.084
MonotonicityNot monotonic
2025-11-14T18:32:38.643702image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44223
 
2.9%
35641
 
1.0%
28221
 
1.0%
43401
 
1.0%
45781
 
1.0%
31891
 
1.0%
40281
 
1.0%
44191
 
1.0%
93051
 
1.0%
47261
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
23081
1.0%
24001
1.0%
25411
1.0%
27531
1.0%
27611
1.0%
ValueCountFrequency (%)
106381
1.0%
103231
1.0%
95651
1.0%
93051
1.0%
80161
1.0%

mean_acc_in_air13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4724194233
Minimum0.140170179
Maximum4.496196372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:38.886462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.140170179
5-th percentile0.1596525288
Q10.2196051608
median0.249144237
Q30.3640004538
95-th percentile1.730867981
Maximum4.496196372
Range4.356026193
Interquartile range (IQR)0.144395293

Descriptive statistics

Standard deviation0.6806714589
Coefficient of variation (CV)1.440820223
Kurtosis17.73719592
Mean0.4724194233
Median Absolute Deviation (MAD)0.047554726
Skewness4.013094625
Sum49.13162002
Variance0.4633136349
MonotonicityNot monotonic
2025-11-14T18:32:38.968708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2253119153
 
2.9%
0.2384430291
 
1.0%
0.1525081981
 
1.0%
0.2343712171
 
1.0%
0.2522805431
 
1.0%
0.3096426891
 
1.0%
0.2212162571
 
1.0%
0.2228166781
 
1.0%
0.220990371
 
1.0%
1.801911351
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.1401701791
1.0%
0.1411611951
1.0%
0.1525081981
1.0%
0.1554709671
1.0%
0.1582926421
1.0%
ValueCountFrequency (%)
4.4961963721
1.0%
3.7484825981
1.0%
2.7316316151
1.0%
2.6330571581
1.0%
1.9357341551
1.0%

mean_acc_on_paper13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.161298233
Minimum0.112910683
Maximum0.316255084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:39.056348image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.112910683
5-th percentile0.1165179132
Q10.133744245
median0.1571024205
Q30.1819486235
95-th percentile0.2335791377
Maximum0.316255084
Range0.203344401
Interquartile range (IQR)0.0482043785

Descriptive statistics

Standard deviation0.03573370538
Coefficient of variation (CV)0.2215381082
Kurtosis2.846746253
Mean0.161298233
Median Absolute Deviation (MAD)0.0237381735
Skewness1.308395546
Sum16.77501623
Variance0.0012768977
MonotonicityNot monotonic
2025-11-14T18:32:39.146449image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1337442453
 
2.9%
0.1762170651
 
1.0%
0.1506242371
 
1.0%
0.1505046691
 
1.0%
0.1157404541
 
1.0%
0.210046831
 
1.0%
0.1219622041
 
1.0%
0.2318660861
 
1.0%
0.2449895411
 
1.0%
0.1609907871
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.1129106831
1.0%
0.1134622271
1.0%
0.1143063821
1.0%
0.1146553231
1.0%
0.1157404541
1.0%
ValueCountFrequency (%)
0.3162550841
1.0%
0.2539979081
1.0%
0.2499251641
1.0%
0.2449895411
1.0%
0.2346259711
1.0%

mean_gmrt13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.0343304
Minimum55.14877628
Maximum648.9852925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:39.230531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum55.14877628
5-th percentile84.41095843
Q1131.2114653
median165.9561961
Q3230.7354837
95-th percentile371.6587501
Maximum648.9852925
Range593.8365162
Interquartile range (IQR)99.52401835

Descriptive statistics

Standard deviation107.5774049
Coefficient of variation (CV)0.5572967496
Kurtosis6.460639933
Mean193.0343304
Median Absolute Deviation (MAD)50.27979
Skewness2.196128813
Sum20075.57037
Variance11572.89805
MonotonicityNot monotonic
2025-11-14T18:32:39.323385image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
148.64645733
 
2.9%
144.14471591
 
1.0%
55.148776281
 
1.0%
170.78381791
 
1.0%
111.06869061
 
1.0%
169.47988541
 
1.0%
96.588315561
 
1.0%
84.600035341
 
1.0%
295.0728441
 
1.0%
271.40046861
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
55.148776281
1.0%
57.428202591
1.0%
60.884076231
1.0%
74.273140431
1.0%
82.023059481
1.0%
ValueCountFrequency (%)
648.98529251
1.0%
634.88539651
1.0%
605.75330291
1.0%
466.94872331
1.0%
424.35235621
1.0%

mean_jerk_in_air13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07809028156
Minimum0.018673573
Maximum0.893947312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:39.407452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.018673573
5-th percentile0.020641672
Q10.02614073225
median0.032624644
Q30.05001096325
95-th percentile0.3295568078
Maximum0.893947312
Range0.875273739
Interquartile range (IQR)0.023870231

Descriptive statistics

Standard deviation0.138235473
Coefficient of variation (CV)1.770200725
Kurtosis18.21863961
Mean0.07809028156
Median Absolute Deviation (MAD)0.008757603
Skewness4.070929022
Sum8.121389282
Variance0.01910904599
MonotonicityNot monotonic
2025-11-14T18:32:39.490722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0206416723
 
2.9%
0.0247075881
 
1.0%
0.0186735731
 
1.0%
0.0279583991
 
1.0%
0.0382766941
 
1.0%
0.0433727641
 
1.0%
0.0281073711
 
1.0%
0.0336993461
 
1.0%
0.0314610091
 
1.0%
0.3435298611
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0186735731
1.0%
0.0200677331
1.0%
0.0201046011
1.0%
0.020330871
1.0%
0.0204026411
1.0%
ValueCountFrequency (%)
0.8939473121
1.0%
0.7653147631
1.0%
0.5332903821
1.0%
0.5003637641
1.0%
0.3751189591
1.0%

mean_jerk_on_paper13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01939849667
Minimum0.013386635
Maximum0.031196342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:39.576605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.013386635
5-th percentile0.0152488644
Q10.01668672975
median0.018759148
Q30.0212276305
95-th percentile0.0251535832
Maximum0.031196342
Range0.017809707
Interquartile range (IQR)0.00454090075

Descriptive statistics

Standard deviation0.003376213182
Coefficient of variation (CV)0.1740450943
Kurtosis0.6718200749
Mean0.01939849667
Median Absolute Deviation (MAD)0.0021611645
Skewness0.7880365267
Sum2.017443654
Variance1.139881545 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:39.657924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0159392533
 
2.9%
0.0193343741
 
1.0%
0.016773891
 
1.0%
0.0186108041
 
1.0%
0.0133866351
 
1.0%
0.0286846441
 
1.0%
0.0160933881
 
1.0%
0.0175763231
 
1.0%
0.0237525591
 
1.0%
0.0191775121
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0133866351
1.0%
0.0135971871
1.0%
0.0136512471
1.0%
0.0143837111
1.0%
0.0147592151
1.0%
ValueCountFrequency (%)
0.0311963421
1.0%
0.0286846441
1.0%
0.0267512751
1.0%
0.0254194471
1.0%
0.0252365281
1.0%

mean_speed_in_air13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.356566008
Minimum0.637059258
Maximum14.51014873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:39.742514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.637059258
5-th percentile1.252618536
Q11.934304589
median2.789970872
Q33.82233425
95-th percentile7.144141576
Maximum14.51014873
Range13.87308947
Interquartile range (IQR)1.888029662

Descriptive statistics

Standard deviation2.244650531
Coefficient of variation (CV)0.6687342139
Kurtosis10.22561439
Mean3.356566008
Median Absolute Deviation (MAD)0.965168623
Skewness2.751116329
Sum349.0828648
Variance5.038456005
MonotonicityNot monotonic
2025-11-14T18:32:39.841077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6402806163
 
2.9%
2.1317584831
 
1.0%
0.8410732931
 
1.0%
1.5884506311
 
1.0%
3.0425747021
 
1.0%
3.5250522331
 
1.0%
1.9038369961
 
1.0%
1.2305650311
 
1.0%
3.5966831031
 
1.0%
7.3071480811
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.6370592581
1.0%
0.8410732931
1.0%
1.0532831311
1.0%
1.1703459281
1.0%
1.1728535561
1.0%
ValueCountFrequency (%)
14.510148731
1.0%
14.094741381
1.0%
9.5548774921
1.0%
9.3102806861
1.0%
8.0532646611
1.0%

mean_speed_on_paper13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.797096128
Minimum0.786807657
Maximum9.440686785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:39.939587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.786807657
5-th percentile1.007728183
Q11.821372003
median2.582044447
Q33.622074249
95-th percentile5.2805803
Maximum9.440686785
Range8.653879128
Interquartile range (IQR)1.800702246

Descriptive statistics

Standard deviation1.428791444
Coefficient of variation (CV)0.5108124205
Kurtosis3.653309856
Mean2.797096128
Median Absolute Deviation (MAD)0.973800136
Skewness1.309196232
Sum290.8979973
Variance2.04144499
MonotonicityNot monotonic
2025-11-14T18:32:40.024704image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.4470090993
 
2.9%
3.2996906831
 
1.0%
1.127254821
 
1.0%
4.1062478761
 
1.0%
0.9913905731
 
1.0%
3.4755899731
 
1.0%
1.9864664741
 
1.0%
1.0405350661
 
1.0%
6.8538885641
 
1.0%
3.133263451
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.7868076571
1.0%
0.8240691941
1.0%
0.9205396241
1.0%
0.9316755841
1.0%
0.9913905731
1.0%
ValueCountFrequency (%)
9.4406867851
1.0%
6.8538885641
1.0%
5.8057408091
1.0%
5.4956554071
1.0%
5.2996798671
1.0%

num_of_pendown13
Real number (ℝ)

Distinct14
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.817307692
Minimum1
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:40.089646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q36
95-th percentile10.85
Maximum17
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.932126777
Coefficient of variation (CV)0.6086650396
Kurtosis5.199791762
Mean4.817307692
Median Absolute Deviation (MAD)1
Skewness1.966963592
Sum501
Variance8.597367438
MonotonicityNot monotonic
2025-11-14T18:32:40.151829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
324
23.1%
420
19.2%
519
18.3%
710
9.6%
69
 
8.7%
17
 
6.7%
26
 
5.8%
92
 
1.9%
112
 
1.9%
171
 
1.0%
Other values (4)4
 
3.8%
ValueCountFrequency (%)
17
 
6.7%
26
 
5.8%
324
23.1%
420
19.2%
519
18.3%
ValueCountFrequency (%)
171
1.0%
161
1.0%
151
1.0%
131
1.0%
112
1.9%

paper_time13
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4806.009615
Minimum1030
Maximum13565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:40.223354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1030
5-th percentile2505.25
Q13087.5
median4017.5
Q35961.25
95-th percentile9190.25
Maximum13565
Range12535
Interquartile range (IQR)2873.75

Descriptive statistics

Standard deviation2302.848213
Coefficient of variation (CV)0.4791601344
Kurtosis1.963730555
Mean4806.009615
Median Absolute Deviation (MAD)1165
Skewness1.332838332
Sum499825
Variance5303109.893
MonotonicityNot monotonic
2025-11-14T18:32:40.313941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25553
 
2.9%
37552
 
1.9%
20951
 
1.0%
75751
 
1.0%
28551
 
1.0%
82801
 
1.0%
29101
 
1.0%
71401
 
1.0%
72501
 
1.0%
39501
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
10301
1.0%
20951
1.0%
21901
1.0%
21951
1.0%
24451
1.0%
ValueCountFrequency (%)
135651
1.0%
124251
1.0%
102751
1.0%
96351
1.0%
92051
1.0%

pressure_mean13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1723.061377
Minimum517.3022556
Maximum2036.562849
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:40.396749image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum517.3022556
5-th percentile1057.050623
Q11619.092954
median1873.932264
Q31964.523506
95-th percentile2009.604858
Maximum2036.562849
Range1519.260593
Interquartile range (IQR)345.4305513

Descriptive statistics

Standard deviation346.3874501
Coefficient of variation (CV)0.2010302446
Kurtosis2.253718724
Mean1723.061377
Median Absolute Deviation (MAD)109.7229985
Skewness-1.656660345
Sum179198.3832
Variance119984.2656
MonotonicityNot monotonic
2025-11-14T18:32:40.489566image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1966.1115463
 
2.9%
1901.3174221
 
1.0%
1248.4118811
 
1.0%
1623.4746061
 
1.0%
1181.5857491
 
1.0%
1751.6168381
 
1.0%
1873.1967791
 
1.0%
1531.2937931
 
1.0%
1983.3734181
 
1.0%
1874.6677491
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
517.30225561
1.0%
592.70364961
1.0%
690.51861361
1.0%
729.70216611
1.0%
968.35140561
1.0%
ValueCountFrequency (%)
2036.5628491
1.0%
2029.8497151
1.0%
2024.6884781
1.0%
2017.4535711
1.0%
2011.5752861
1.0%

pressure_var13
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125218.0488
Minimum9127.201357
Maximum416545.9279
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:40.598200image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9127.201357
5-th percentile32356.67457
Q165348.54105
median104258.1291
Q3173546.3324
95-th percentile293168.0026
Maximum416545.9279
Range407418.7265
Interquartile range (IQR)108197.7914

Descriptive statistics

Standard deviation81868.87823
Coefficient of variation (CV)0.6538105248
Kurtosis1.594017143
Mean125218.0488
Median Absolute Deviation (MAD)47521.35491
Skewness1.224995621
Sum13022677.08
Variance6702513223
MonotonicityNot monotonic
2025-11-14T18:32:40.839949image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79711.214563
 
2.9%
103861.831
 
1.0%
203605.90691
 
1.0%
86636.04271
 
1.0%
176165.48181
 
1.0%
325593.79991
 
1.0%
213218.20711
 
1.0%
134837.34131
 
1.0%
66794.606131
 
1.0%
95113.687231
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
9127.2013571
1.0%
11310.641221
1.0%
15983.534171
1.0%
27457.551421
1.0%
31663.34951
1.0%
ValueCountFrequency (%)
416545.92791
1.0%
385390.68571
1.0%
335922.44561
1.0%
325593.79991
1.0%
305627.59121
1.0%

total_time13
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7974.086538
Minimum1250
Maximum27610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:40.933737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1250
5-th percentile3521.25
Q14710
median5880
Q39096.25
95-th percentile18730.75
Maximum27610
Range26360
Interquartile range (IQR)4386.25

Descriptive statistics

Standard deviation5109.820916
Coefficient of variation (CV)0.6408032934
Kurtosis2.639925308
Mean7974.086538
Median Absolute Deviation (MAD)1820
Skewness1.698302456
Sum829305
Variance26110269.79
MonotonicityNot monotonic
2025-11-14T18:32:41.023150image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47403
 
2.9%
57352
 
1.9%
68051
 
1.0%
44851
 
1.0%
129451
 
1.0%
43001
 
1.0%
231601
 
1.0%
90051
 
1.0%
58551
 
1.0%
91451
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
12501
1.0%
29751
1.0%
33101
1.0%
34151
1.0%
34701
1.0%
ValueCountFrequency (%)
276101
1.0%
236401
1.0%
231601
1.0%
202251
1.0%
200751
1.0%

air_time14
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14356.95192
Minimum805
Maximum148605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:41.123171image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum805
5-th percentile2288.25
Q13500
median5190
Q312530
95-th percentile56079.9
Maximum148605
Range147800
Interquartile range (IQR)9030

Descriptive statistics

Standard deviation22841.22437
Coefficient of variation (CV)1.590952208
Kurtosis13.33998352
Mean14356.95192
Median Absolute Deviation (MAD)2555
Skewness3.307507943
Sum1493123
Variance521721530.6
MonotonicityNot monotonic
2025-11-14T18:32:41.226113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36056
 
5.8%
35002
 
1.9%
78851
 
1.0%
69701
 
1.0%
77501
 
1.0%
119951
 
1.0%
24151
 
1.0%
1486051
 
1.0%
35951
 
1.0%
53351
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
8051
1.0%
19801
1.0%
20851
1.0%
21301
1.0%
22051
1.0%
ValueCountFrequency (%)
1486051
1.0%
965351
1.0%
896051
1.0%
764051
1.0%
619801
1.0%

disp_index14
Real number (ℝ)

Distinct66
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.424846154 × 10-5
Minimum0
Maximum3.44 × 10-5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:41.339793image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.6635 × 10-6
Q11.19 × 10-5
median1.37 × 10-5
Q31.6725 × 10-5
95-th percentile2.067 × 10-5
Maximum3.44 × 10-5
Range3.44 × 10-5
Interquartile range (IQR)4.825 × 10-6

Descriptive statistics

Standard deviation4.423463206 × 10-6
Coefficient of variation (CV)0.3104519877
Kurtosis5.476007261
Mean1.424846154 × 10-5
Median Absolute Deviation (MAD)2.65 × 10-6
Skewness1.14461648
Sum0.00148184
Variance1.956702674 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:41.444594image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.04 × 10-55
 
4.8%
1.68 × 10-55
 
4.8%
1.5 × 10-54
 
3.8%
1.36 × 10-53
 
2.9%
1.19 × 10-53
 
2.9%
1.53 × 10-53
 
2.9%
1.45 × 10-53
 
2.9%
1.25 × 10-53
 
2.9%
1.37 × 10-53
 
2.9%
1.28 × 10-53
 
2.9%
Other values (56)69
66.3%
ValueCountFrequency (%)
01
1.0%
5.79 × 10-61
1.0%
7.63 × 10-61
1.0%
8.02 × 10-61
1.0%
8.18 × 10-61
1.0%
ValueCountFrequency (%)
3.44 × 10-51
1.0%
3.11 × 10-51
1.0%
2.12 × 10-52
1.9%
2.08 × 10-51
1.0%
2.07 × 10-51
1.0%

gmrt_in_air14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean250.0085357
Minimum23.95048761
Maximum620.9737197
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:41.549700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum23.95048761
5-th percentile74.56987796
Q1155.7923542
median227.70616
Q3314.2205702
95-th percentile462.9063109
Maximum620.9737197
Range597.0232321
Interquartile range (IQR)158.428216

Descriptive statistics

Standard deviation129.2416932
Coefficient of variation (CV)0.5169491228
Kurtosis0.2973150732
Mean250.0085357
Median Absolute Deviation (MAD)75.199731
Skewness0.7748201346
Sum26000.88771
Variance16703.41527
MonotonicityNot monotonic
2025-11-14T18:32:41.655122image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
383.27224645
 
4.8%
211.01712791
 
1.0%
263.94383741
 
1.0%
149.0204941
 
1.0%
351.81818431
 
1.0%
143.23815451
 
1.0%
286.66355081
 
1.0%
191.97197441
 
1.0%
134.29525781
 
1.0%
555.23784151
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
23.950487611
1.0%
44.880214081
1.0%
47.18164391
1.0%
55.992840771
1.0%
71.310839291
1.0%
ValueCountFrequency (%)
620.97371971
1.0%
619.55692591
1.0%
557.85533591
1.0%
555.23784151
1.0%
527.08121071
1.0%

gmrt_on_paper14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.4444027
Minimum0
Maximum536.054968
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:41.739201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile82.39409398
Q1148.6530941
median192.9835873
Q3244.1491666
95-th percentile345.4856763
Maximum536.054968
Range536.054968
Interquartile range (IQR)95.49607245

Descriptive statistics

Standard deviation90.22813631
Coefficient of variation (CV)0.4435026725
Kurtosis1.483657058
Mean203.4444027
Median Absolute Deviation (MAD)49.91077635
Skewness0.7559820258
Sum21158.21788
Variance8141.116582
MonotonicityNot monotonic
2025-11-14T18:32:41.823386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
240.62132165
 
4.8%
234.38634461
 
1.0%
264.37256711
 
1.0%
109.36211951
 
1.0%
291.60917961
 
1.0%
261.69852881
 
1.0%
257.98469841
 
1.0%
128.33652971
 
1.0%
97.601257811
 
1.0%
303.84045621
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
1.0%
20.896088941
1.0%
64.820780451
1.0%
64.964752641
1.0%
65.171423681
1.0%
ValueCountFrequency (%)
536.0549681
1.0%
444.05089111
1.0%
429.744121
1.0%
405.22997061
1.0%
405.22901531
1.0%

max_x_extension14
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3902.567308
Minimum0
Maximum9701
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:41.951380image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1084.95
Q11900.75
median3483
Q35771
95-th percentile7314.4
Maximum9701
Range9701
Interquartile range (IQR)3870.25

Descriptive statistics

Standard deviation2288.162063
Coefficient of variation (CV)0.5863222547
Kurtosis-0.8493194062
Mean3902.567308
Median Absolute Deviation (MAD)1881.5
Skewness0.4264064416
Sum405867
Variance5235685.626
MonotonicityNot monotonic
2025-11-14T18:32:42.053281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57715
 
4.8%
19492
 
1.9%
59311
 
1.0%
51461
 
1.0%
17541
 
1.0%
82351
 
1.0%
54961
 
1.0%
20831
 
1.0%
7861
 
1.0%
56461
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
01
1.0%
7511
1.0%
7861
1.0%
9231
1.0%
10621
1.0%
ValueCountFrequency (%)
97011
1.0%
93411
1.0%
84911
1.0%
84261
1.0%
82351
1.0%

max_y_extension14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7113.778846
Minimum0
Maximum15524
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:42.283933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2968.25
Q14667.75
median5924.5
Q39813
95-th percentile12743.75
Maximum15524
Range15524
Interquartile range (IQR)5145.25

Descriptive statistics

Standard deviation3407.262711
Coefficient of variation (CV)0.4789666343
Kurtosis-0.5644707515
Mean7113.778846
Median Absolute Deviation (MAD)1937
Skewness0.6202208884
Sum739833
Variance11609439.18
MonotonicityNot monotonic
2025-11-14T18:32:42.393229image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55335
 
4.8%
56911
 
1.0%
37401
 
1.0%
135561
 
1.0%
111001
 
1.0%
52391
 
1.0%
33831
 
1.0%
79361
 
1.0%
80711
 
1.0%
51741
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
1.0%
22001
1.0%
27491
1.0%
28881
1.0%
29251
1.0%
ValueCountFrequency (%)
155241
1.0%
151641
1.0%
147621
1.0%
135561
1.0%
132281
1.0%

mean_acc_in_air14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.527826531
Minimum0.104035821
Maximum1.90868653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:42.507796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.104035821
5-th percentile0.1875573668
Q10.2493315758
median0.351927825
Q30.6969063995
95-th percentile1.314393747
Maximum1.90868653
Range1.804650709
Interquartile range (IQR)0.4475748238

Descriptive statistics

Standard deviation0.4085423812
Coefficient of variation (CV)0.7740088025
Kurtosis2.817695552
Mean0.527826531
Median Absolute Deviation (MAD)0.1460178045
Skewness1.728127769
Sum54.89395922
Variance0.1669068772
MonotonicityNot monotonic
2025-11-14T18:32:42.602603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9274419775
 
4.8%
0.3562540361
 
1.0%
0.9136115211
 
1.0%
0.2725078751
 
1.0%
0.2358828441
 
1.0%
0.5192278351
 
1.0%
1.0261906681
 
1.0%
0.4122572741
 
1.0%
0.3183952471
 
1.0%
0.2578291471
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
0.1040358211
1.0%
0.1214989361
1.0%
0.1400334971
1.0%
0.1832637761
1.0%
0.1837515691
1.0%
ValueCountFrequency (%)
1.908686531
1.0%
1.8863142851
1.0%
1.8497415461
1.0%
1.8442545271
1.0%
1.4965763781
1.0%

mean_acc_on_paper14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1604147393
Minimum0
Maximum0.308770885
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:42.691545image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.120283585
Q10.139527463
median0.154422996
Q30.1797882877
95-th percentile0.2125601183
Maximum0.308770885
Range0.308770885
Interquartile range (IQR)0.04026082475

Descriptive statistics

Standard deviation0.03958682945
Coefficient of variation (CV)0.2467780057
Kurtosis4.654254077
Mean0.1604147393
Median Absolute Deviation (MAD)0.019464408
Skewness0.4373681843
Sum16.68313289
Variance0.001567117066
MonotonicityNot monotonic
2025-11-14T18:32:42.866170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1202835855
 
4.8%
0.1999533931
 
1.0%
0.2050378861
 
1.0%
0.1441573291
 
1.0%
0.2016771311
 
1.0%
0.1441103751
 
1.0%
0.1938241821
 
1.0%
0.1448079351
 
1.0%
0.1495786611
 
1.0%
0.1933908641
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
1.0%
0.0679252261
1.0%
0.107279771
1.0%
0.1073536191
1.0%
0.1199367341
1.0%
ValueCountFrequency (%)
0.3087708851
1.0%
0.2975659981
1.0%
0.265786111
1.0%
0.2417322561
1.0%
0.2213109971
1.0%

mean_gmrt14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean226.7264692
Minimum50.84739315
Maximum532.5123054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:42.963060image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum50.84739315
5-th percentile84.71444775
Q1153.6649507
median222.4008242
Q3297.013492
95-th percentile427.2210356
Maximum532.5123054
Range481.6649122
Interquartile range (IQR)143.3485413

Descriptive statistics

Standard deviation100.4754376
Coefficient of variation (CV)0.4431570693
Kurtosis0.05364575469
Mean226.7264692
Median Absolute Deviation (MAD)73.93284135
Skewness0.5836747752
Sum23579.5528
Variance10095.31357
MonotonicityNot monotonic
2025-11-14T18:32:43.237687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311.9467845
 
4.8%
222.70173621
 
1.0%
264.15820231
 
1.0%
129.19130671
 
1.0%
321.71368191
 
1.0%
202.46834171
 
1.0%
272.32412461
 
1.0%
160.1542521
 
1.0%
115.94825781
 
1.0%
429.53914891
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
50.847393151
1.0%
60.478796711
1.0%
70.213203451
1.0%
71.153827741
1.0%
74.673015891
1.0%
ValueCountFrequency (%)
532.51230541
1.0%
473.5911921
1.0%
437.21085491
1.0%
434.43777121
1.0%
429.53914891
1.0%

mean_jerk_in_air14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09024183116
Minimum0.015299648
Maximum0.366793825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:43.372924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.015299648
5-th percentile0.0230195371
Q10.03319526775
median0.0541366015
Q30.1213589005
95-th percentile0.25033091
Maximum0.366793825
Range0.351494177
Interquartile range (IQR)0.08816363275

Descriptive statistics

Standard deviation0.08164063258
Coefficient of variation (CV)0.9046872335
Kurtosis2.886657001
Mean0.09024183116
Median Absolute Deviation (MAD)0.0273030385
Skewness1.753618725
Sum9.385150441
Variance0.006665192888
MonotonicityNot monotonic
2025-11-14T18:32:43.466857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1715670535
 
4.8%
0.0563463631
 
1.0%
0.1569553921
 
1.0%
0.0385826141
 
1.0%
0.0293718011
 
1.0%
0.0903573661
 
1.0%
0.193884021
 
1.0%
0.0674062971
 
1.0%
0.0496686971
 
1.0%
0.0334065951
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
0.0152996481
1.0%
0.0192358751
1.0%
0.0214338511
1.0%
0.0221722771
1.0%
0.0228988211
1.0%
ValueCountFrequency (%)
0.3667938251
1.0%
0.3639871541
1.0%
0.3558522841
1.0%
0.3535348041
1.0%
0.2845955941
1.0%

mean_jerk_on_paper14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01907966745
Minimum0
Maximum0.029744986
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:43.585413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0154102164
Q10.01724680375
median0.018956613
Q30.0209141225
95-th percentile0.02435861935
Maximum0.029744986
Range0.029744986
Interquartile range (IQR)0.00366731875

Descriptive statistics

Standard deviation0.003609052295
Coefficient of variation (CV)0.1891569811
Kurtosis7.926590062
Mean0.01907966745
Median Absolute Deviation (MAD)0.001826957
Skewness-1.141216005
Sum1.984285415
Variance1.302525847 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:43.722901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.015973525
 
4.8%
0.0220608621
 
1.0%
0.0258728661
 
1.0%
0.0183285531
 
1.0%
0.0205159131
 
1.0%
0.020927331
 
1.0%
0.0229356041
 
1.0%
0.019559961
 
1.0%
0.0199473181
 
1.0%
0.0210154041
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
1.0%
0.0077063381
1.0%
0.0134981381
1.0%
0.0148501751
1.0%
0.0150833051
1.0%
ValueCountFrequency (%)
0.0297449861
1.0%
0.0280725131
1.0%
0.0262562421
1.0%
0.0258728661
1.0%
0.0244403671
1.0%

mean_speed_in_air14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.121598465
Minimum0.440134165
Maximum9.235042834
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:43.810626image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.440134165
5-th percentile1.489612918
Q12.62204014
median3.824705397
Q35.416716125
95-th percentile7.838986047
Maximum9.235042834
Range8.794908669
Interquartile range (IQR)2.794675985

Descriptive statistics

Standard deviation2.013233968
Coefficient of variation (CV)0.4884595104
Kurtosis-0.11555173
Mean4.121598465
Median Absolute Deviation (MAD)1.326866448
Skewness0.6660467544
Sum428.6462404
Variance4.053111011
MonotonicityNot monotonic
2025-11-14T18:32:43.931536image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.4167161255
 
4.8%
3.6446929511
 
1.0%
4.906866681
 
1.0%
2.6799704531
 
1.0%
6.7636694811
 
1.0%
3.0347420981
 
1.0%
5.9386860191
 
1.0%
3.2031314291
 
1.0%
1.7847066921
 
1.0%
8.8854565171
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
0.4401341651
1.0%
0.8517711711
1.0%
0.9210156091
1.0%
0.9785372311
1.0%
1.482877221
1.0%
ValueCountFrequency (%)
9.2350428341
1.0%
9.0723723231
1.0%
8.8854565171
1.0%
8.8435344091
1.0%
7.9522874641
1.0%

mean_speed_on_paper14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.426208061
Minimum0
Maximum9.006989988
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:44.010281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.237415248
Q12.483140413
median3.420209247
Q34.040133115
95-th percentile5.869422802
Maximum9.006989988
Range9.006989988
Interquartile range (IQR)1.556992702

Descriptive statistics

Standard deviation1.505286818
Coefficient of variation (CV)0.4393448357
Kurtosis1.57759449
Mean3.426208061
Median Absolute Deviation (MAD)0.7305321725
Skewness0.7383003628
Sum356.3256383
Variance2.265888403
MonotonicityNot monotonic
2025-11-14T18:32:44.099238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.8274053565
 
4.8%
3.8835948531
 
1.0%
4.1085355231
 
1.0%
1.7323781721
 
1.0%
5.748421951
 
1.0%
1.9236655371
 
1.0%
4.4565724041
 
1.0%
2.4020947441
 
1.0%
1.8406097621
 
1.0%
5.2905830611
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
1.0%
0.3501865331
1.0%
1.0139618521
1.0%
1.0282347211
1.0%
1.0944752091
1.0%
ValueCountFrequency (%)
9.0069899881
1.0%
7.2564448911
1.0%
7.1901928811
1.0%
6.8918011021
1.0%
6.8902493591
1.0%

num_of_pendown14
Real number (ℝ)

Distinct25
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.48076923
Minimum0
Maximum38
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:44.178564image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.15
Q19
median12
Q316.25
95-th percentile27
Maximum38
Range38
Interquartile range (IQR)7.25

Descriptive statistics

Standard deviation6.650762084
Coefficient of variation (CV)0.4933518236
Kurtosis1.914957864
Mean13.48076923
Median Absolute Deviation (MAD)4
Skewness1.202956135
Sum1402
Variance44.2326363
MonotonicityNot monotonic
2025-11-14T18:32:44.263476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1213
 
12.5%
1310
 
9.6%
79
 
8.7%
107
 
6.7%
87
 
6.7%
116
 
5.8%
166
 
5.8%
185
 
4.8%
204
 
3.8%
174
 
3.8%
Other values (15)33
31.7%
ValueCountFrequency (%)
01
 
1.0%
41
 
1.0%
54
3.8%
63
 
2.9%
79
8.7%
ValueCountFrequency (%)
381
 
1.0%
331
 
1.0%
303
2.9%
272
1.9%
261
 
1.0%

paper_time14
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8920.769231
Minimum0
Maximum41695
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:44.349727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4880
Q16342.5
median7605
Q39466.25
95-th percentile16284.5
Maximum41695
Range41695
Interquartile range (IQR)3123.75

Descriptive statistics

Standard deviation5316.466715
Coefficient of variation (CV)0.5959650539
Kurtosis16.65656336
Mean8920.769231
Median Absolute Deviation (MAD)1437.5
Skewness3.531548529
Sum927760
Variance28264818.33
MonotonicityNot monotonic
2025-11-14T18:32:44.465832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84405
 
4.8%
68302
 
1.9%
130551
 
1.0%
108751
 
1.0%
81201
 
1.0%
149101
 
1.0%
54001
 
1.0%
110301
 
1.0%
59801
 
1.0%
79451
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
01
1.0%
28951
1.0%
42851
1.0%
43151
1.0%
47851
1.0%
ValueCountFrequency (%)
416951
1.0%
309801
1.0%
249601
1.0%
233101
1.0%
195651
1.0%

pressure_mean14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1641.416076
Minimum0
Maximum2008.594787
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:44.553279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile817.2122807
Q11448.181889
median1780.183101
Q31916.481815
95-th percentile2005.4197
Maximum2008.594787
Range2008.594787
Interquartile range (IQR)468.299926

Descriptive statistics

Standard deviation391.4785416
Coefficient of variation (CV)0.238500492
Kurtosis3.471463213
Mean1641.416076
Median Absolute Deviation (MAD)172.3994335
Skewness-1.781290939
Sum170707.2719
Variance153255.4486
MonotonicityNot monotonic
2025-11-14T18:32:44.666068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2008.5947875
 
4.8%
1296.8372271
 
1.0%
1911.5627381
 
1.0%
1663.1529181
 
1.0%
1804.1666671
 
1.0%
895.07026291
 
1.0%
1811.4531771
 
1.0%
1962.224671
 
1.0%
1784.6868211
 
1.0%
1953.1377051
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
1.0%
372.34435581
1.0%
523.58531751
1.0%
665.01858111
1.0%
715.4114181
1.0%
ValueCountFrequency (%)
2008.5947875
4.8%
2006.5075021
 
1.0%
1999.2554891
 
1.0%
1987.3112641
 
1.0%
1983.6371831
 
1.0%

pressure_var14
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145367.0939
Minimum0
Maximum323093.7334
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:44.805638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36246.64149
Q186319.29603
median140026.5741
Q3195343.5769
95-th percentile285807.1579
Maximum323093.7334
Range323093.7334
Interquartile range (IQR)109024.2808

Descriptive statistics

Standard deviation75914.86168
Coefficient of variation (CV)0.5222286533
Kurtosis-0.5045869845
Mean145367.0939
Median Absolute Deviation (MAD)54661.0578
Skewness0.4053079379
Sum15118177.76
Variance5763066223
MonotonicityNot monotonic
2025-11-14T18:32:44.900919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36246.641495
 
4.8%
184562.34161
 
1.0%
87863.122491
 
1.0%
317193.59831
 
1.0%
104219.35931
 
1.0%
196991.41351
 
1.0%
179100.75781
 
1.0%
75700.331521
 
1.0%
219276.45291
 
1.0%
86499.93121
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
 
1.0%
24874.403651
 
1.0%
30677.09061
 
1.0%
33256.894431
 
1.0%
36246.641495
4.8%
ValueCountFrequency (%)
323093.73341
1.0%
317193.59831
1.0%
308736.78111
1.0%
296598.56551
1.0%
288583.76971
1.0%

total_time14
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23277.72115
Minimum2815
Maximum159635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:45.025894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2815
5-th percentile7660.25
Q110126.25
median12592.5
Q323351.25
95-th percentile74894.6
Maximum159635
Range156820
Interquartile range (IQR)13225

Descriptive statistics

Standard deviation25740.41436
Coefficient of variation (CV)1.105796147
Kurtosis9.703544114
Mean23277.72115
Median Absolute Deviation (MAD)3405
Skewness2.922250274
Sum2420883
Variance662568931.3
MonotonicityNot monotonic
2025-11-14T18:32:45.139611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120455
 
4.8%
95752
 
1.9%
112752
 
1.9%
209401
 
1.0%
138001
 
1.0%
158701
 
1.0%
269051
 
1.0%
78151
 
1.0%
1596351
 
1.0%
132801
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
28151
1.0%
37001
1.0%
71351
1.0%
75751
1.0%
76101
1.0%
ValueCountFrequency (%)
1596351
1.0%
1085951
1.0%
1060951
1.0%
1036751
1.0%
1013651
1.0%

air_time15
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31833.53846
Minimum1280
Maximum335890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:45.225679image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1280
5-th percentile4370.75
Q16898.75
median13867.5
Q330365
95-th percentile163790
Maximum335890
Range334610
Interquartile range (IQR)23466.25

Descriptive statistics

Standard deviation52352.53308
Coefficient of variation (CV)1.644571594
Kurtosis14.20350417
Mean31833.53846
Median Absolute Deviation (MAD)7737.5
Skewness3.516751728
Sum3310688
Variance2740787720
MonotonicityNot monotonic
2025-11-14T18:32:45.339330image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1714453
 
2.9%
356052
 
1.9%
520351
 
1.0%
470651
 
1.0%
83551
 
1.0%
613251
 
1.0%
55051
 
1.0%
86351
 
1.0%
1267151
 
1.0%
185751
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
12801
1.0%
17401
1.0%
22501
1.0%
31601
1.0%
42101
1.0%
ValueCountFrequency (%)
3358901
 
1.0%
2521801
 
1.0%
1714453
2.9%
1695201
 
1.0%
1313201
 
1.0%

disp_index15
Real number (ℝ)

Distinct84
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.524423077 × 10-6
Minimum4.3 × 10-6
Maximum3.07 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:45.439242image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.3 × 10-6
5-th percentile5.9055 × 10-6
Q17.645 × 10-6
median8.695 × 10-6
Q31.0825 × 10-5
95-th percentile1.4185 × 10-5
Maximum3.07 × 10-5
Range2.64 × 10-5
Interquartile range (IQR)3.18 × 10-6

Descriptive statistics

Standard deviation3.309977804 × 10-6
Coefficient of variation (CV)0.3475252808
Kurtosis15.50784412
Mean9.524423077 × 10-6
Median Absolute Deviation (MAD)1.55 × 10-6
Skewness2.895542498
Sum0.00099054
Variance1.095595306 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:45.540295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.66 × 10-64
 
3.8%
8.09 × 10-63
 
2.9%
1.16 × 10-53
 
2.9%
1.14 × 10-52
 
1.9%
1.02 × 10-52
 
1.9%
1.03 × 10-52
 
1.9%
1.01 × 10-52
 
1.9%
1.4 × 10-52
 
1.9%
1.11 × 10-52
 
1.9%
1.18 × 10-52
 
1.9%
Other values (74)80
76.9%
ValueCountFrequency (%)
4.3 × 10-61
1.0%
5.26 × 10-61
1.0%
5.32 × 10-61
1.0%
5.44 × 10-61
1.0%
5.71 × 10-61
1.0%
ValueCountFrequency (%)
3.07 × 10-51
1.0%
1.76 × 10-51
1.0%
1.66 × 10-51
1.0%
1.6 × 10-51
1.0%
1.58 × 10-51
1.0%

gmrt_in_air15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.5931398
Minimum44.3641207
Maximum366.5661194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:45.844377image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum44.3641207
5-th percentile64.98157674
Q194.72190912
median133.3597315
Q3176.649086
95-th percentile252.3498916
Maximum366.5661194
Range322.2019987
Interquartile range (IQR)81.9271769

Descriptive statistics

Standard deviation60.28288541
Coefficient of variation (CV)0.4227614702
Kurtosis1.197564948
Mean142.5931398
Median Absolute Deviation (MAD)40.95669973
Skewness0.9219768182
Sum14829.68653
Variance3634.026273
MonotonicityNot monotonic
2025-11-14T18:32:45.946419image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.542150033
 
2.9%
191.67550851
 
1.0%
88.535090841
 
1.0%
162.03862231
 
1.0%
165.65146011
 
1.0%
72.897142731
 
1.0%
213.89525331
 
1.0%
197.89318981
 
1.0%
82.598975171
 
1.0%
120.17971471
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
44.36412071
1.0%
47.130768981
1.0%
57.237983321
1.0%
59.703908831
1.0%
60.55281341
1.0%
ValueCountFrequency (%)
366.56611941
1.0%
307.87202081
1.0%
295.39846631
1.0%
260.69422251
1.0%
257.77192111
1.0%

gmrt_on_paper15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.3968132
Minimum41.74116649
Maximum393.6926097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:46.106290image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum41.74116649
5-th percentile52.79107976
Q195.12055144
median132.3062655
Q3186.7928993
95-th percentile284.8297466
Maximum393.6926097
Range351.9514432
Interquartile range (IQR)91.67234784

Descriptive statistics

Standard deviation69.73930563
Coefficient of variation (CV)0.4731398469
Kurtosis0.7533748468
Mean147.3968132
Median Absolute Deviation (MAD)41.85553256
Skewness0.8782572546
Sum15329.26857
Variance4863.570749
MonotonicityNot monotonic
2025-11-14T18:32:46.254457image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.93200943
 
2.9%
183.10549491
 
1.0%
46.936942511
 
1.0%
243.78171011
 
1.0%
44.784884741
 
1.0%
123.20797941
 
1.0%
107.81175841
 
1.0%
144.62286251
 
1.0%
90.797231671
 
1.0%
393.69260971
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
41.741166491
1.0%
44.784884741
1.0%
46.936942511
1.0%
48.046684081
1.0%
49.014188721
1.0%
ValueCountFrequency (%)
393.69260971
1.0%
309.45078631
1.0%
304.76972421
1.0%
302.30029631
1.0%
296.75811171
1.0%

max_x_extension15
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1916.278846
Minimum829
Maximum4790
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:46.356819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum829
5-th percentile976.95
Q11447.25
median1766.5
Q32233
95-th percentile3418.55
Maximum4790
Range3961
Interquartile range (IQR)785.75

Descriptive statistics

Standard deviation752.4786157
Coefficient of variation (CV)0.3926769933
Kurtosis2.557421383
Mean1916.278846
Median Absolute Deviation (MAD)384.5
Skewness1.402637958
Sum199293
Variance566224.0671
MonotonicityNot monotonic
2025-11-14T18:32:46.510135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34433
 
2.9%
20362
 
1.9%
15242
 
1.9%
12112
 
1.9%
22332
 
1.9%
14512
 
1.9%
17771
 
1.0%
23501
 
1.0%
13171
 
1.0%
19541
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
8291
1.0%
8341
1.0%
9271
1.0%
9441
1.0%
9491
1.0%
ValueCountFrequency (%)
47901
 
1.0%
45851
 
1.0%
38671
 
1.0%
34433
2.9%
32801
 
1.0%

max_y_extension15
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5492.336538
Minimum1454
Maximum15758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:46.591019image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1454
5-th percentile3027.8
Q14125.25
median4844.5
Q36169.75
95-th percentile10996.5
Maximum15758
Range14304
Interquartile range (IQR)2044.5

Descriptive statistics

Standard deviation2455.134124
Coefficient of variation (CV)0.447010868
Kurtosis4.438511743
Mean5492.336538
Median Absolute Deviation (MAD)1102
Skewness1.93968456
Sum571203
Variance6027683.565
MonotonicityNot monotonic
2025-11-14T18:32:46.707286image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51863
 
2.9%
48492
 
1.9%
47301
 
1.0%
44531
 
1.0%
14541
 
1.0%
60901
 
1.0%
48401
 
1.0%
29991
 
1.0%
67541
 
1.0%
138381
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
14541
1.0%
22001
1.0%
24851
1.0%
27211
1.0%
28571
1.0%
ValueCountFrequency (%)
157581
1.0%
138381
1.0%
132901
1.0%
119111
1.0%
114091
1.0%

mean_acc_in_air15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4013001628
Minimum0.127002307
Maximum1.736446249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:46.894111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.127002307
5-th percentile0.1662334612
Q10.2061625428
median0.3291881895
Q30.4862317293
95-th percentile0.9690290209
Maximum1.736446249
Range1.609443942
Interquartile range (IQR)0.2800691865

Descriptive statistics

Standard deviation0.2677431714
Coefficient of variation (CV)0.6671892916
Kurtosis5.917275332
Mean0.4013001628
Median Absolute Deviation (MAD)0.123239447
Skewness2.079621362
Sum41.73521693
Variance0.07168640581
MonotonicityNot monotonic
2025-11-14T18:32:47.019498image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4193776243
 
2.9%
0.3196372311
 
1.0%
0.5391172941
 
1.0%
0.2528582181
 
1.0%
0.5513035181
 
1.0%
0.1940655511
 
1.0%
0.3301589421
 
1.0%
1.0017101291
 
1.0%
0.3951843381
 
1.0%
0.2105983131
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.1270023071
1.0%
0.1510458381
1.0%
0.1529415411
1.0%
0.1565002651
1.0%
0.164634181
1.0%
ValueCountFrequency (%)
1.7364462491
1.0%
1.1843233451
1.0%
1.1310521561
1.0%
1.010517831
1.0%
1.0017101291
1.0%

mean_acc_on_paper15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.145842663
Minimum0.066746998
Maximum0.314622965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:47.103672image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.066746998
5-th percentile0.1004717719
Q10.1269002345
median0.136363031
Q30.1585154668
95-th percentile0.2116947281
Maximum0.314622965
Range0.247875967
Interquartile range (IQR)0.03161523225

Descriptive statistics

Standard deviation0.03566044208
Coefficient of variation (CV)0.2445131031
Kurtosis4.151904872
Mean0.145842663
Median Absolute Deviation (MAD)0.0169254025
Skewness1.260239307
Sum15.16763695
Variance0.001271667129
MonotonicityNot monotonic
2025-11-14T18:32:47.244816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1362641963
 
2.9%
0.1715403851
 
1.0%
0.1555587331
 
1.0%
0.1520509951
 
1.0%
0.1195254461
 
1.0%
0.1526503291
 
1.0%
0.0957314221
 
1.0%
0.0667469981
 
1.0%
0.1509762691
 
1.0%
0.3146229651
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0667469981
1.0%
0.0705624071
1.0%
0.0906955941
1.0%
0.091334441
1.0%
0.0957314221
1.0%
ValueCountFrequency (%)
0.3146229651
1.0%
0.2223460551
1.0%
0.2222202881
1.0%
0.2189530691
1.0%
0.2167713231
1.0%

mean_gmrt15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.9949765
Minimum57.32608405
Maximum310.4909024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:47.362721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum57.32608405
5-th percentile79.37474602
Q1103.177067
median136.8195535
Q3169.8945083
95-th percentile257.7165972
Maximum310.4909024
Range253.1648183
Interquartile range (IQR)66.71744125

Descriptive statistics

Standard deviation52.49497738
Coefficient of variation (CV)0.3620468699
Kurtosis0.5487323117
Mean144.9949765
Median Absolute Deviation (MAD)33.66334535
Skewness0.8922026876
Sum15079.47755
Variance2755.72265
MonotonicityNot monotonic
2025-11-14T18:32:47.444603image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93.737079693
 
2.9%
187.39050171
 
1.0%
67.736016681
 
1.0%
202.91016621
 
1.0%
105.21817241
 
1.0%
98.052561051
 
1.0%
160.85350591
 
1.0%
171.25802611
 
1.0%
86.698103421
 
1.0%
256.93616221
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
57.326084051
1.0%
65.95108741
1.0%
67.736016681
1.0%
68.00317291
1.0%
76.129877461
1.0%
ValueCountFrequency (%)
310.49090241
1.0%
281.52783411
1.0%
265.33288391
1.0%
265.10985491
1.0%
261.55006191
1.0%

mean_jerk_in_air15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06575954855
Minimum0.0189351
Maximum0.335200277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:47.558646image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.0189351
5-th percentile0.0216534853
Q10.026394715
median0.0513869235
Q30.080797098
95-th percentile0.1786821345
Maximum0.335200277
Range0.316265177
Interquartile range (IQR)0.054402383

Descriptive statistics

Standard deviation0.0534265539
Coefficient of variation (CV)0.8124531735
Kurtosis6.244016359
Mean0.06575954855
Median Absolute Deviation (MAD)0.025565546
Skewness2.137174726
Sum6.838993049
Variance0.002854396662
MonotonicityNot monotonic
2025-11-14T18:32:47.655565image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0715221973
 
2.9%
0.0505962651
 
1.0%
0.0980864491
 
1.0%
0.0354305261
 
1.0%
0.0955785731
 
1.0%
0.0240896771
 
1.0%
0.0521775821
 
1.0%
0.1916964631
 
1.0%
0.0673877851
 
1.0%
0.0265708731
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.01893511
1.0%
0.0190104261
1.0%
0.0208289461
1.0%
0.0210437061
1.0%
0.0215257811
1.0%
ValueCountFrequency (%)
0.3352002771
1.0%
0.2213856481
1.0%
0.2130927351
1.0%
0.1916964631
1.0%
0.1870125731
1.0%

mean_jerk_on_paper15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01802192877
Minimum0.008295994
Maximum0.027528942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:47.764179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.008295994
5-th percentile0.0130377348
Q10.015928668
median0.0171896405
Q30.0199954345
95-th percentile0.02530092715
Maximum0.027528942
Range0.019232948
Interquartile range (IQR)0.0040667665

Descriptive statistics

Standard deviation0.003856887757
Coefficient of variation (CV)0.2140108202
Kurtosis0.3808217015
Mean0.01802192877
Median Absolute Deviation (MAD)0.0020906275
Skewness0.4177878222
Sum1.874280592
Variance1.487558317 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:47.865615image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0150864983
 
2.9%
0.0212957291
 
1.0%
0.0150208841
 
1.0%
0.0200683811
 
1.0%
0.0159386161
 
1.0%
0.0192827511
 
1.0%
0.0123029391
 
1.0%
0.0082959941
 
1.0%
0.0175188421
 
1.0%
0.0275238031
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0082959941
1.0%
0.0090176441
1.0%
0.0099689921
1.0%
0.0114807731
1.0%
0.0123029391
1.0%
ValueCountFrequency (%)
0.0275289421
1.0%
0.0275238031
1.0%
0.0269409991
1.0%
0.0267956451
1.0%
0.026739751
1.0%

mean_speed_in_air15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.733568894
Minimum0.728483121
Maximum6.577544823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:47.950343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.728483121
5-th percentile1.157680864
Q11.754935819
median2.514466004
Q33.429075118
95-th percentile4.948511698
Maximum6.577544823
Range5.849061702
Interquartile range (IQR)1.674139299

Descriptive statistics

Standard deviation1.215730275
Coefficient of variation (CV)0.4447410408
Kurtosis0.7543754626
Mean2.733568894
Median Absolute Deviation (MAD)0.781105613
Skewness0.8874849736
Sum284.2911649
Variance1.478000101
MonotonicityNot monotonic
2025-11-14T18:32:48.045267image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.7374971113
 
2.9%
3.8357927861
 
1.0%
1.8043594881
 
1.0%
2.8225858381
 
1.0%
3.5458302451
 
1.0%
1.4372726641
 
1.0%
3.283705721
 
1.0%
4.0431549981
 
1.0%
1.6559971511
 
1.0%
2.3841312961
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.7284831211
1.0%
0.8252501961
1.0%
1.0360588321
1.0%
1.0625908541
1.0%
1.1489424861
1.0%
ValueCountFrequency (%)
6.5775448231
1.0%
6.3673666351
1.0%
5.9048362641
1.0%
5.4507916471
1.0%
5.2524698091
1.0%

mean_speed_on_paper15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.506251198
Minimum0.512311385
Maximum7.562374575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:48.118661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.512311385
5-th percentile0.8920029231
Q11.519601462
median2.307328181
Q33.30439524
95-th percentile4.939185068
Maximum7.562374575
Range7.05006319
Interquartile range (IQR)1.784793778

Descriptive statistics

Standard deviation1.285777269
Coefficient of variation (CV)0.5130280917
Kurtosis1.416210839
Mean2.506251198
Median Absolute Deviation (MAD)0.794656587
Skewness1.029324901
Sum260.6501246
Variance1.653223186
MonotonicityNot monotonic
2025-11-14T18:32:48.395488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5190037383
 
2.9%
3.3768305681
 
1.0%
0.8862291391
 
1.0%
4.5176364581
 
1.0%
0.660023741
 
1.0%
1.9828533851
 
1.0%
1.9038455231
 
1.0%
0.6416144081
 
1.0%
1.5072086141
 
1.0%
7.5623745751
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.5123113851
1.0%
0.6416144081
1.0%
0.660023741
1.0%
0.7937686641
1.0%
0.8681805721
1.0%
ValueCountFrequency (%)
7.5623745751
1.0%
5.4500906941
1.0%
5.2811840861
1.0%
5.2520125481
1.0%
5.1747488971
1.0%

num_of_pendown15
Real number (ℝ)

Distinct23
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.66346154
Minimum4
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:48.472123image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.15
Q110
median12
Q316
95-th percentile22
Maximum38
Range34
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.693823219
Coefficient of variation (CV)0.4167189408
Kurtosis4.062662278
Mean13.66346154
Median Absolute Deviation (MAD)2
Skewness1.605180941
Sum1421
Variance32.41962285
MonotonicityNot monotonic
2025-11-14T18:32:48.540191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1213
12.5%
1112
11.5%
1011
10.6%
139
 
8.7%
198
 
7.7%
148
 
7.7%
86
 
5.8%
95
 
4.8%
165
 
4.8%
174
 
3.8%
Other values (13)23
22.1%
ValueCountFrequency (%)
41
 
1.0%
52
 
1.9%
63
2.9%
71
 
1.0%
86
5.8%
ValueCountFrequency (%)
381
1.0%
341
1.0%
291
1.0%
282
1.9%
222
1.9%

paper_time15
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7970.865385
Minimum2155
Maximum37290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:48.615625image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2155
5-th percentile3373.75
Q14561.25
median6407.5
Q38575
95-th percentile16247
Maximum37290
Range35135
Interquartile range (IQR)4013.75

Descriptive statistics

Standard deviation5823.62632
Coefficient of variation (CV)0.73061406
Kurtosis9.634438108
Mean7970.865385
Median Absolute Deviation (MAD)1972.5
Skewness2.799283109
Sum828970
Variance33914623.52
MonotonicityNot monotonic
2025-11-14T18:32:48.709289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85754
 
3.8%
52752
 
1.9%
64502
 
1.9%
37301
 
1.0%
51551
 
1.0%
139101
 
1.0%
52351
 
1.0%
96201
 
1.0%
138401
 
1.0%
57851
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
21551
1.0%
27801
1.0%
28901
1.0%
29251
1.0%
33601
1.0%
ValueCountFrequency (%)
372901
1.0%
333851
1.0%
272501
1.0%
234251
1.0%
217851
1.0%

pressure_mean15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1516.130904
Minimum338.9728897
Maximum1982.217256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:48.798395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum338.9728897
5-th percentile746.28457
Q11323.572054
median1609.019562
Q31791.414493
95-th percentile1950.207802
Maximum1982.217256
Range1643.244366
Interquartile range (IQR)467.8424383

Descriptive statistics

Standard deviation372.3435108
Coefficient of variation (CV)0.2455879699
Kurtosis0.3469090956
Mean1516.130904
Median Absolute Deviation (MAD)214.5202125
Skewness-1.017052691
Sum157677.614
Variance138639.69
MonotonicityNot monotonic
2025-11-14T18:32:48.896677image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1781.6209913
 
2.9%
1623.7305631
 
1.0%
943.54934211
 
1.0%
1960.290981
 
1.0%
943.92163911
 
1.0%
1877.1337151
 
1.0%
1982.2172561
 
1.0%
1781.5776731
 
1.0%
1694.0345721
 
1.0%
1889.6201441
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
338.97288971
1.0%
593.00821261
1.0%
671.674921
1.0%
705.21136651
1.0%
739.89184551
1.0%
ValueCountFrequency (%)
1982.2172561
1.0%
1979.0684521
1.0%
1960.290981
1.0%
1956.3285091
1.0%
1954.9826841
1.0%

pressure_var15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215067.5642
Minimum27604.79532
Maximum435098.6724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:48.976699image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum27604.79532
5-th percentile86737.40167
Q1160709.0043
median222283.3246
Q3266227.5575
95-th percentile363673.568
Maximum435098.6724
Range407493.8771
Interquartile range (IQR)105518.5532

Descriptive statistics

Standard deviation85116.37485
Coefficient of variation (CV)0.3957657454
Kurtosis-0.3570026424
Mean215067.5642
Median Absolute Deviation (MAD)56024.35275
Skewness0.1489288654
Sum22367026.67
Variance7244797267
MonotonicityNot monotonic
2025-11-14T18:32:49.084718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222283.32463
 
2.9%
332253.6071
 
1.0%
229778.11341
 
1.0%
79178.803791
 
1.0%
202772.50141
 
1.0%
175281.28871
 
1.0%
64315.255291
 
1.0%
372119.88991
 
1.0%
270949.59431
 
1.0%
169325.32621
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
27604.795321
1.0%
59706.548621
1.0%
64315.255291
1.0%
72008.535681
1.0%
79178.803791
1.0%
ValueCountFrequency (%)
435098.67241
1.0%
400116.08421
1.0%
388122.71631
1.0%
382887.39231
1.0%
372119.88991
1.0%

total_time15
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39804.40385
Minimum5195
Maximum369275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:49.178213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5195
5-th percentile8875.5
Q112208.75
median20957.5
Q341505
95-th percentile171189
Maximum369275
Range364080
Interquartile range (IQR)29296.25

Descriptive statistics

Standard deviation56059.32098
Coefficient of variation (CV)1.408369817
Kurtosis15.07588726
Mean39804.40385
Median Absolute Deviation (MAD)10262.5
Skewness3.567224193
Sum4139658
Variance3142647468
MonotonicityNot monotonic
2025-11-14T18:32:49.290261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1800203
 
2.9%
210751
 
1.0%
546651
 
1.0%
135101
 
1.0%
752351
 
1.0%
107401
 
1.0%
182551
 
1.0%
1405551
 
1.0%
243601
 
1.0%
141751
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
51951
1.0%
59251
1.0%
67001
1.0%
83851
1.0%
84601
1.0%
ValueCountFrequency (%)
3692751
 
1.0%
2894701
 
1.0%
1800203
2.9%
1765951
 
1.0%
1405551
 
1.0%

air_time16
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7699.086538
Minimum260
Maximum54460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:49.420515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum260
5-th percentile690.25
Q11717.5
median4570
Q39315
95-th percentile26741.5
Maximum54460
Range54200
Interquartile range (IQR)7597.5

Descriptive statistics

Standard deviation9253.800971
Coefficient of variation (CV)1.201934921
Kurtosis8.45208999
Mean7699.086538
Median Absolute Deviation (MAD)3120
Skewness2.615110461
Sum800705
Variance85632832.41
MonotonicityNot monotonic
2025-11-14T18:32:49.523827image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16402
 
1.9%
134152
 
1.9%
29302
 
1.9%
85552
 
1.9%
51102
 
1.9%
6701
 
1.0%
106501
 
1.0%
453301
 
1.0%
14801
 
1.0%
283751
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
2601
1.0%
5151
1.0%
5401
1.0%
6051
1.0%
6401
1.0%
ValueCountFrequency (%)
544601
1.0%
453301
1.0%
359551
1.0%
287151
1.0%
283751
1.0%

disp_index16
Real number (ℝ)

Distinct90
Distinct (%)86.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.976538462 × 10-6
Minimum0
Maximum2.83 × 10-5
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:49.607329image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.8495 × 10-6
Q13.775 × 10-6
median4.345 × 10-6
Q35.215 × 10-6
95-th percentile7.495 × 10-6
Maximum2.83 × 10-5
Range2.83 × 10-5
Interquartile range (IQR)1.44 × 10-6

Descriptive statistics

Standard deviation3.243808372 × 10-6
Coefficient of variation (CV)0.6518202155
Kurtosis33.82556172
Mean4.976538462 × 10-6
Median Absolute Deviation (MAD)7.35 × 10-7
Skewness5.305388225
Sum0.00051756
Variance1.052229276 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:49.713033image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.33 × 10-63
 
2.9%
5.18 × 10-62
 
1.9%
4.16 × 10-62
 
1.9%
5.43 × 10-62
 
1.9%
4.92 × 10-62
 
1.9%
3.76 × 10-62
 
1.9%
3.26 × 10-62
 
1.9%
4.38 × 10-62
 
1.9%
4.03 × 10-62
 
1.9%
3.5 × 10-62
 
1.9%
Other values (80)83
79.8%
ValueCountFrequency (%)
01
1.0%
2.07 × 10-61
1.0%
2.28 × 10-61
1.0%
2.5 × 10-61
1.0%
2.8 × 10-61
1.0%
ValueCountFrequency (%)
2.83 × 10-51
1.0%
2.27 × 10-51
1.0%
1.06 × 10-51
1.0%
9.17 × 10-61
1.0%
8.52 × 10-61
1.0%

gmrt_in_air16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.1979387
Minimum44.76406249
Maximum485.5761655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:49.807551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum44.76406249
5-th percentile60.18132073
Q1105.3107067
median159.7897643
Q3213.5702907
95-th percentile361.2109461
Maximum485.5761655
Range440.812103
Interquartile range (IQR)108.2595841

Descriptive statistics

Standard deviation91.99563011
Coefficient of variation (CV)0.5342435037
Kurtosis1.911191682
Mean172.1979387
Median Absolute Deviation (MAD)53.87317545
Skewness1.267587436
Sum17908.58563
Variance8463.195959
MonotonicityNot monotonic
2025-11-14T18:32:49.907490image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
176.72193312
 
1.9%
113.95463681
 
1.0%
215.67676221
 
1.0%
265.02396411
 
1.0%
212.46950581
 
1.0%
54.062458691
 
1.0%
79.077047451
 
1.0%
147.47660341
 
1.0%
185.46444941
 
1.0%
302.1662821
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
44.764062491
1.0%
51.451553691
1.0%
52.090774221
1.0%
52.332764271
1.0%
54.062458691
1.0%
ValueCountFrequency (%)
485.57616551
1.0%
458.13866511
1.0%
443.09247231
1.0%
418.03212141
1.0%
405.37025091
1.0%

gmrt_on_paper16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.1482875
Minimum0
Maximum517.928849
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:49.995932image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.45666199
Q185.03248011
median118.7475993
Q3165.1864583
95-th percentile286.2930139
Maximum517.928849
Range517.928849
Interquartile range (IQR)80.15397822

Descriptive statistics

Standard deviation75.03743274
Coefficient of variation (CV)0.5635628827
Kurtosis6.646787955
Mean133.1482875
Median Absolute Deviation (MAD)36.82475888
Skewness1.975370223
Sum13847.4219
Variance5630.616313
MonotonicityNot monotonic
2025-11-14T18:32:50.091352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130.22214282
 
1.9%
100.58290381
 
1.0%
63.901620931
 
1.0%
260.3845941
 
1.0%
87.20786421
 
1.0%
74.218031051
 
1.0%
86.140272811
 
1.0%
152.16757351
 
1.0%
71.04953271
 
1.0%
134.55561511
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
01
1.0%
23.683322891
1.0%
36.82131031
1.0%
40.129144311
1.0%
40.65379691
1.0%
ValueCountFrequency (%)
517.9288491
1.0%
358.66898751
1.0%
315.91398411
1.0%
314.23161411
1.0%
302.99844131
1.0%

max_x_extension16
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1060.576923
Minimum0
Maximum12266
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:50.184628image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile405.85
Q1567
median734.5
Q3942
95-th percentile2188.5
Maximum12266
Range12266
Interquartile range (IQR)375

Descriptive statistics

Standard deviation1651.807252
Coefficient of variation (CV)1.557461054
Kurtosis39.51987263
Mean1060.576923
Median Absolute Deviation (MAD)191
Skewness6.123859521
Sum110300
Variance2728467.198
MonotonicityNot monotonic
2025-11-14T18:32:50.457666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11192
 
1.9%
6912
 
1.9%
7062
 
1.9%
7372
 
1.9%
7182
 
1.9%
5672
 
1.9%
9321
 
1.0%
9381
 
1.0%
3391
 
1.0%
7651
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
01
1.0%
3391
1.0%
3501
1.0%
3871
1.0%
3981
1.0%
ValueCountFrequency (%)
122661
1.0%
121221
1.0%
36551
1.0%
32571
1.0%
28491
1.0%

max_y_extension16
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3108.442308
Minimum0
Maximum14671
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:50.551493image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1552.2
Q12099
median2620.5
Q33191.25
95-th percentile6578.7
Maximum14671
Range14671
Interquartile range (IQR)1092.25

Descriptive statistics

Standard deviation2077.080054
Coefficient of variation (CV)0.6682060814
Kurtosis15.04876333
Mean3108.442308
Median Absolute Deviation (MAD)532
Skewness3.52954083
Sum323278
Variance4314261.55
MonotonicityNot monotonic
2025-11-14T18:32:50.654451image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39462
 
1.9%
20992
 
1.9%
25862
 
1.9%
20842
 
1.9%
18011
 
1.0%
20621
 
1.0%
13071
 
1.0%
33621
 
1.0%
116611
 
1.0%
16441
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
01
1.0%
12771
1.0%
12831
1.0%
13071
1.0%
14761
1.0%
ValueCountFrequency (%)
146711
1.0%
126941
1.0%
116611
1.0%
75581
1.0%
72631
1.0%

mean_acc_in_air16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.474141996
Minimum0.142733391
Maximum2.427377987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:50.758811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.142733391
5-th percentile0.1809292889
Q10.2169112733
median0.279206998
Q30.5367791272
95-th percentile1.353715519
Maximum2.427377987
Range2.284644596
Interquartile range (IQR)0.319867854

Descriptive statistics

Standard deviation0.4594483035
Coefficient of variation (CV)0.9690099325
Kurtosis7.540842519
Mean0.474141996
Median Absolute Deviation (MAD)0.0829619235
Skewness2.662037542
Sum49.31076758
Variance0.2110927436
MonotonicityNot monotonic
2025-11-14T18:32:50.846542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.3356304382
 
1.9%
0.217030771
 
1.0%
1.0295923761
 
1.0%
0.2292595841
 
1.0%
0.8645296631
 
1.0%
0.2373274121
 
1.0%
0.2625993671
 
1.0%
0.1855746371
 
1.0%
0.272838741
 
1.0%
1.2331484761
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.1427333911
1.0%
0.1574849751
1.0%
0.1636743741
1.0%
0.1738006191
1.0%
0.1805421451
1.0%
ValueCountFrequency (%)
2.4273779871
1.0%
2.3830967611
1.0%
2.2895203891
1.0%
1.8079653231
1.0%
1.6933730041
1.0%

mean_acc_on_paper16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1461396254
Minimum0
Maximum0.274925853
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:50.940745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.104504263
Q10.1241686693
median0.141799207
Q30.1644694158
95-th percentile0.2044313793
Maximum0.274925853
Range0.274925853
Interquartile range (IQR)0.0403007465

Descriptive statistics

Standard deviation0.03534483984
Coefficient of variation (CV)0.2418566473
Kurtosis3.898766955
Mean0.1461396254
Median Absolute Deviation (MAD)0.0198702965
Skewness0.285400076
Sum15.19852105
Variance0.001249257704
MonotonicityNot monotonic
2025-11-14T18:32:51.023994image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1011353992
 
1.9%
0.1264435991
 
1.0%
0.1480102571
 
1.0%
0.1691036661
 
1.0%
0.1317726341
 
1.0%
0.1413859841
 
1.0%
0.11875161
 
1.0%
0.1143187781
 
1.0%
0.1478367691
 
1.0%
0.1221593231
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
01
1.0%
0.0858145171
1.0%
0.0910409881
1.0%
0.1011353992
1.9%
0.1041359141
1.0%
ValueCountFrequency (%)
0.2749258531
1.0%
0.2579556991
1.0%
0.2220135571
1.0%
0.213738551
1.0%
0.2112351241
1.0%

mean_gmrt16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.6731131
Minimum41.55780371
Maximum378.6620432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:51.109437image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum41.55780371
5-th percentile68.00090604
Q1109.2751928
median142.3425783
Q3177.3284812
95-th percentile292.838048
Maximum378.6620432
Range337.1042395
Interquartile range (IQR)68.05328838

Descriptive statistics

Standard deviation66.62089463
Coefficient of variation (CV)0.4363629801
Kurtosis1.727175116
Mean152.6731131
Median Absolute Deviation (MAD)34.3554022
Skewness1.186202126
Sum15878.00376
Variance4438.343601
MonotonicityNot monotonic
2025-11-14T18:32:51.203234image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153.47203792
 
1.9%
107.26877031
 
1.0%
139.78919161
 
1.0%
262.7042791
 
1.0%
149.8386851
 
1.0%
64.140244871
 
1.0%
82.608660131
 
1.0%
149.82208841
 
1.0%
128.2569911
 
1.0%
218.36094861
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
41.557803711
1.0%
46.372285561
1.0%
55.133509411
1.0%
64.140244871
1.0%
64.376113371
1.0%
ValueCountFrequency (%)
378.66204321
1.0%
358.26213231
1.0%
348.58064771
1.0%
317.30292671
1.0%
300.06865581
1.0%

mean_jerk_in_air16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07938689809
Minimum0.01860561
Maximum0.473325548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:51.288300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01860561
5-th percentile0.020690019
Q10.028555532
median0.0409429745
Q30.088426344
95-th percentile0.2537613229
Maximum0.473325548
Range0.454719938
Interquartile range (IQR)0.059870812

Descriptive statistics

Standard deviation0.09180927962
Coefficient of variation (CV)1.156478989
Kurtosis7.592011226
Mean0.07938689809
Median Absolute Deviation (MAD)0.017267985
Skewness2.674252396
Sum8.256237401
Variance0.008428943824
MonotonicityNot monotonic
2025-11-14T18:32:51.384090image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0497170322
 
1.9%
0.0276448911
 
1.0%
0.1934222481
 
1.0%
0.02062141
 
1.0%
0.1578827521
 
1.0%
0.0346055611
 
1.0%
0.0382537041
 
1.0%
0.0265857551
 
1.0%
0.0362732591
 
1.0%
0.2299632661
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.018605611
1.0%
0.0188173471
1.0%
0.0197605271
1.0%
0.0202207881
1.0%
0.02062141
1.0%
ValueCountFrequency (%)
0.4733255481
1.0%
0.4617811581
1.0%
0.4377311911
1.0%
0.3474099961
1.0%
0.3225050171
1.0%

mean_jerk_on_paper16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01723902482
Minimum0
Maximum0.026414575
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:51.466774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01271006
Q10.0150806055
median0.016898525
Q30.019055847
95-th percentile0.0244878117
Maximum0.026414575
Range0.026414575
Interquartile range (IQR)0.0039752415

Descriptive statistics

Standard deviation0.003798887017
Coefficient of variation (CV)0.2203655402
Kurtosis3.579059047
Mean0.01723902482
Median Absolute Deviation (MAD)0.00195008
Skewness-0.3370011897
Sum1.792858581
Variance1.443154257 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:51.577733image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.012710062
 
1.9%
0.0149188981
 
1.0%
0.0163459781
 
1.0%
0.0193654051
 
1.0%
0.0162142871
 
1.0%
0.0176894241
 
1.0%
0.0140029221
 
1.0%
0.0129287341
 
1.0%
0.0161292921
 
1.0%
0.0159606791
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
01
1.0%
0.0106472881
1.0%
0.0109526831
1.0%
0.011049011
1.0%
0.0126813751
1.0%
ValueCountFrequency (%)
0.0264145751
1.0%
0.0263709161
1.0%
0.025740151
1.0%
0.0249470641
1.0%
0.0249189171
1.0%

mean_speed_in_air16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.193839408
Minimum0.848247106
Maximum9.677015763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:51.678957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.848247106
5-th percentile1.166740467
Q11.973681184
median3.031131482
Q33.772123391
95-th percentile7.136224336
Maximum9.677015763
Range8.828768657
Interquartile range (IQR)1.798442207

Descriptive statistics

Standard deviation1.715899574
Coefficient of variation (CV)0.5372529283
Kurtosis2.251613972
Mean3.193839408
Median Absolute Deviation (MAD)0.9867727385
Skewness1.355992163
Sum332.1592984
Variance2.94431135
MonotonicityNot monotonic
2025-11-14T18:32:51.773374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2417769932
 
1.9%
2.4047856111
 
1.0%
4.2848756291
 
1.0%
3.5765853571
 
1.0%
4.4664815471
 
1.0%
0.8482471061
 
1.0%
1.7499476811
 
1.0%
2.1884127011
 
1.0%
3.3521156511
 
1.0%
6.1978601131
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
0.8482471061
1.0%
0.9481809511
1.0%
1.0092174811
1.0%
1.0146727461
1.0%
1.0754208731
1.0%
ValueCountFrequency (%)
9.6770157631
1.0%
8.1515496441
1.0%
7.8926430881
1.0%
7.6127352991
1.0%
7.5365081091
1.0%

mean_speed_on_paper16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.315572706
Minimum0
Maximum8.560684182
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:51.868097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.7953156268
Q11.468682689
median2.100209528
Q32.855505795
95-th percentile4.431063144
Maximum8.560684182
Range8.560684182
Interquartile range (IQR)1.386823106

Descriptive statistics

Standard deviation1.295952901
Coefficient of variation (CV)0.5596684129
Kurtosis5.604642376
Mean2.315572706
Median Absolute Deviation (MAD)0.674243668
Skewness1.805746207
Sum240.8195614
Variance1.679493922
MonotonicityNot monotonic
2025-11-14T18:32:51.973585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.3202857792
 
1.9%
1.8180813831
 
1.0%
1.1728949511
 
1.0%
5.3973217561
 
1.0%
0.6636347621
 
1.0%
1.4573885631
 
1.0%
1.4992360421
 
1.0%
2.840659561
 
1.0%
1.3329906941
 
1.0%
2.2441614471
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
01
1.0%
0.3459227061
1.0%
0.6425249021
1.0%
0.6636347621
1.0%
0.7526045431
1.0%
ValueCountFrequency (%)
8.5606841821
1.0%
6.8647626831
1.0%
5.5271546461
1.0%
5.3973217561
1.0%
4.9343552721
1.0%

num_of_pendown16
Real number (ℝ)

Distinct16
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.692307692
Minimum0
Maximum33
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:52.052886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median5
Q36
95-th percentile10.85
Maximum33
Range33
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.924226281
Coefficient of variation (CV)0.6893911034
Kurtosis23.29864289
Mean5.692307692
Median Absolute Deviation (MAD)1
Skewness3.899138343
Sum592
Variance15.3995519
MonotonicityNot monotonic
2025-11-14T18:32:52.125353image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
622
21.2%
421
20.2%
517
16.3%
712
11.5%
311
10.6%
16
 
5.8%
84
 
3.8%
92
 
1.9%
172
 
1.9%
111
 
1.0%
Other values (6)6
 
5.8%
ValueCountFrequency (%)
01
 
1.0%
16
 
5.8%
21
 
1.0%
311
10.6%
421
20.2%
ValueCountFrequency (%)
331
1.0%
172
1.9%
161
1.0%
121
1.0%
111
1.0%

paper_time16
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3520.913462
Minimum0
Maximum20105
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:52.237727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1463.25
Q11903.75
median2682.5
Q33960
95-th percentile8575.5
Maximum20105
Range20105
Interquartile range (IQR)2056.25

Descriptive statistics

Standard deviation2809.889674
Coefficient of variation (CV)0.7980570114
Kurtosis14.21946593
Mean3520.913462
Median Absolute Deviation (MAD)900
Skewness3.303997023
Sum366175
Variance7895479.983
MonotonicityNot monotonic
2025-11-14T18:32:52.386051image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26052
 
1.9%
18452
 
1.9%
15252
 
1.9%
18602
 
1.9%
20402
 
1.9%
24801
 
1.0%
25701
 
1.0%
30951
 
1.0%
60201
 
1.0%
31601
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
01
1.0%
12101
1.0%
12501
1.0%
12701
1.0%
14201
1.0%
ValueCountFrequency (%)
201051
1.0%
149851
1.0%
117651
1.0%
117301
1.0%
91251
1.0%

pressure_mean16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1498.735528
Minimum0
Maximum2004.871622
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:52.497177image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile676.4033284
Q11253.845709
median1619.970916
Q31810.712045
95-th percentile1924.032833
Maximum2004.871622
Range2004.871622
Interquartile range (IQR)556.8663355

Descriptive statistics

Standard deviation396.597087
Coefficient of variation (CV)0.2646211287
Kurtosis1.474980083
Mean1498.735528
Median Absolute Deviation (MAD)236.7555655
Skewness-1.213730712
Sum155868.4949
Variance157289.2494
MonotonicityNot monotonic
2025-11-14T18:32:52.628425image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1875.3320542
 
1.9%
1409.8112241
 
1.0%
1419.1657031
 
1.0%
1996.0032681
 
1.0%
1186.8695281
 
1.0%
1863.4006461
 
1.0%
1937.9833891
 
1.0%
1896.4082281
 
1.0%
1844.2829741
 
1.0%
1552.2375941
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
01
1.0%
362.907431
1.0%
577.63825761
1.0%
611.78494621
1.0%
658.84133611
1.0%
ValueCountFrequency (%)
2004.8716221
1.0%
1996.0032681
1.0%
1985.2585811
1.0%
1937.9833891
1.0%
1932.4031411
1.0%

pressure_var16
Real number (ℝ)

Distinct103
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207857.6757
Minimum0
Maximum550332.0037
Zeros1
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:52.737967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53919.62622
Q1133864.3922
median200478.5942
Q3271830.4701
95-th percentile411750.361
Maximum550332.0037
Range550332.0037
Interquartile range (IQR)137966.0779

Descriptive statistics

Standard deviation106522.734
Coefficient of variation (CV)0.5124791935
Kurtosis0.3302633826
Mean207857.6757
Median Absolute Deviation (MAD)68031.71455
Skewness0.5768249127
Sum21617198.27
Variance1.134709286 × 1010
MonotonicityNot monotonic
2025-11-14T18:32:52.834395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151145.4542
 
1.9%
268800.46951
 
1.0%
195834.97061
 
1.0%
52473.571881
 
1.0%
185683.13171
 
1.0%
202981.63591
 
1.0%
84698.386771
 
1.0%
110082.86821
 
1.0%
182726.95591
 
1.0%
459231.85931
 
1.0%
Other values (93)93
89.4%
ValueCountFrequency (%)
01
1.0%
17805.102271
1.0%
38367.204371
1.0%
47437.949741
1.0%
52473.571881
1.0%
ValueCountFrequency (%)
550332.00371
1.0%
464498.9511
1.0%
459231.85931
1.0%
423272.21441
1.0%
421535.41271
1.0%

total_time16
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11220
Minimum1975
Maximum63585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:53.128183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1975
5-th percentile2725.5
Q13740
median7867.5
Q313710
95-th percentile34116.75
Maximum63585
Range61610
Interquartile range (IQR)9970

Descriptive statistics

Standard deviation11232.30602
Coefficient of variation (CV)1.001096793
Kurtosis7.281016837
Mean11220
Median Absolute Deviation (MAD)4410
Skewness2.480072481
Sum1166880
Variance126164698.5
MonotonicityNot monotonic
2025-11-14T18:32:53.234386image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111602
 
1.9%
46952
 
1.9%
35002
 
1.9%
32952
 
1.9%
197801
 
1.0%
77601
 
1.0%
27151
 
1.0%
570951
 
1.0%
45751
 
1.0%
343951
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
19751
1.0%
21301
1.0%
24251
1.0%
25801
1.0%
26801
1.0%
ValueCountFrequency (%)
635851
1.0%
570951
1.0%
488201
1.0%
420801
1.0%
344701
1.0%

air_time17
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39292.34615
Minimum1900
Maximum863930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:53.324929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1900
5-th percentile6420
Q110500
median16397.5
Q338475
95-th percentile96834.5
Maximum863930
Range862030
Interquartile range (IQR)27975

Descriptive statistics

Standard deviation93895.90203
Coefficient of variation (CV)2.389674102
Kurtosis59.74477043
Mean39292.34615
Median Absolute Deviation (MAD)8065
Skewness7.219894207
Sum4086404
Variance8816440418
MonotonicityNot monotonic
2025-11-14T18:32:53.442903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90503
 
2.9%
93502
 
1.9%
132502
 
1.9%
80151
 
1.0%
3359451
 
1.0%
59201
 
1.0%
480951
 
1.0%
86301
 
1.0%
167001
 
1.0%
171351
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
19001
1.0%
43451
1.0%
54601
1.0%
59201
1.0%
61001
1.0%
ValueCountFrequency (%)
8639301
1.0%
3359451
1.0%
2946151
1.0%
1300551
1.0%
1055101
1.0%

disp_index17
Real number (ℝ)

Distinct84
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.682201923 × 10-5
Minimum3.29 × 10-6
Maximum4.73 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:53.546405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3.29 × 10-6
5-th percentile2.0015 × 10-5
Q12.3775 × 10-5
median2.65 × 10-5
Q32.9725 × 10-5
95-th percentile3.646 × 10-5
Maximum4.73 × 10-5
Range4.401 × 10-5
Interquartile range (IQR)5.95 × 10-6

Descriptive statistics

Standard deviation5.720266879 × 10-6
Coefficient of variation (CV)0.2132675706
Kurtosis3.57746242
Mean2.682201923 × 10-5
Median Absolute Deviation (MAD)2.95 × 10-6
Skewness0
Sum0.00278949
Variance3.272145316 × 10-11
MonotonicityNot monotonic
2025-11-14T18:32:53.639750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9 × 10-54
 
3.8%
2.86 × 10-53
 
2.9%
2.47 × 10-53
 
2.9%
2.76 × 10-53
 
2.9%
3.14 × 10-53
 
2.9%
3.09 × 10-52
 
1.9%
2.59 × 10-52
 
1.9%
2.48 × 10-52
 
1.9%
2.57 × 10-52
 
1.9%
2.53 × 10-52
 
1.9%
Other values (74)78
75.0%
ValueCountFrequency (%)
3.29 × 10-61
1.0%
1.23 × 10-51
1.0%
1.69 × 10-51
1.0%
1.81 × 10-51
1.0%
1.94 × 10-51
1.0%
ValueCountFrequency (%)
4.73 × 10-51
1.0%
4.19 × 10-51
1.0%
3.89 × 10-51
1.0%
3.79 × 10-51
1.0%
3.74 × 10-51
1.0%

gmrt_in_air17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.9706224
Minimum85.33396222
Maximum780.3841538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:53.723202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum85.33396222
5-th percentile115.6242562
Q1206.6462198
median294.5236037
Q3374.9005454
95-th percentile567.8819025
Maximum780.3841538
Range695.0501916
Interquartile range (IQR)168.2543256

Descriptive statistics

Standard deviation141.4866785
Coefficient of variation (CV)0.4579292276
Kurtosis0.7457935843
Mean308.9706224
Median Absolute Deviation (MAD)84.98511565
Skewness0.8414313898
Sum32132.94473
Variance20018.48018
MonotonicityNot monotonic
2025-11-14T18:32:53.841648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
567.88190253
 
2.9%
360.74399712
 
1.9%
406.82148261
 
1.0%
263.88931151
 
1.0%
123.24198241
 
1.0%
719.4181191
 
1.0%
246.27056031
 
1.0%
450.35465021
 
1.0%
296.925491
 
1.0%
252.412051
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
85.333962221
1.0%
85.790213441
1.0%
92.484763431
1.0%
92.603280851
1.0%
105.37968111
1.0%
ValueCountFrequency (%)
780.38415381
1.0%
719.4181191
1.0%
617.61670081
1.0%
611.36348351
1.0%
611.18177081
1.0%

gmrt_on_paper17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.5321359
Minimum85.63343032
Maximum443.6705467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:53.941524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum85.63343032
5-th percentile115.6060633
Q1207.7069574
median242.7445381
Q3288.7599376
95-th percentile347.2592362
Maximum443.6705467
Range358.0371164
Interquartile range (IQR)81.05298022

Descriptive statistics

Standard deviation72.3424852
Coefficient of variation (CV)0.2958404012
Kurtosis-0.003774232324
Mean244.5321359
Median Absolute Deviation (MAD)43.4852956
Skewness-0.01648155137
Sum25431.34213
Variance5233.435165
MonotonicityNot monotonic
2025-11-14T18:32:54.036008image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
245.75104153
 
2.9%
228.46444942
 
1.9%
347.28022351
 
1.0%
227.51497021
 
1.0%
87.518388091
 
1.0%
400.74576151
 
1.0%
107.05523521
 
1.0%
314.6622361
 
1.0%
242.81794561
 
1.0%
274.16578631
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
85.633430321
1.0%
87.518388091
1.0%
100.95520851
1.0%
107.05523521
1.0%
108.10901251
1.0%
ValueCountFrequency (%)
443.67054671
1.0%
400.74576151
1.0%
399.41747171
1.0%
378.82647941
1.0%
363.79881361
1.0%

max_x_extension17
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11992.13462
Minimum1093
Maximum13214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:54.133021image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1093
5-th percentile11496.6
Q111815.5
median12047.5
Q312379.5
95-th percentile12762.95
Maximum13214
Range12121
Interquartile range (IQR)564

Descriptive statistics

Standard deviation1150.773965
Coefficient of variation (CV)0.09596072779
Kurtosis79.77436775
Mean11992.13462
Median Absolute Deviation (MAD)280.5
Skewness-8.363384225
Sum1247182
Variance1324280.72
MonotonicityNot monotonic
2025-11-14T18:32:54.252870image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120223
 
2.9%
121113
 
2.9%
117672
 
1.9%
126762
 
1.9%
121772
 
1.9%
125091
 
1.0%
117461
 
1.0%
123711
 
1.0%
120001
 
1.0%
127571
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
10931
1.0%
111081
1.0%
112281
1.0%
113911
1.0%
114111
1.0%
ValueCountFrequency (%)
132141
1.0%
130021
1.0%
128941
1.0%
128851
1.0%
128391
1.0%

max_y_extension17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13695.27885
Minimum2926
Maximum16176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:54.358576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2926
5-th percentile12275.85
Q113077.75
median13880.5
Q314443.25
95-th percentile14947.8
Maximum16176
Range13250
Interquartile range (IQR)1365.5

Descriptive statistics

Standard deviation1375.180937
Coefficient of variation (CV)0.1004127738
Kurtosis36.0227679
Mean13695.27885
Median Absolute Deviation (MAD)603
Skewness-4.725459408
Sum1424309
Variance1891122.611
MonotonicityNot monotonic
2025-11-14T18:32:54.441975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147353
 
2.9%
136442
 
1.9%
148581
 
1.0%
146551
 
1.0%
135731
 
1.0%
146291
 
1.0%
128721
 
1.0%
131511
 
1.0%
142551
 
1.0%
143491
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
29261
1.0%
119601
1.0%
120291
1.0%
121511
1.0%
122701
1.0%
ValueCountFrequency (%)
161761
1.0%
152561
1.0%
149851
1.0%
149841
1.0%
149601
1.0%

mean_acc_in_air17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.427169733
Minimum0.218801014
Maximum3.444643966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:54.546620image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.218801014
5-th percentile0.4839375334
Q10.8368724468
median1.315577697
Q31.865493364
95-th percentile2.585285316
Maximum3.444643966
Range3.225842952
Interquartile range (IQR)1.028620917

Descriptive statistics

Standard deviation0.7273078943
Coefficient of variation (CV)0.509615554
Kurtosis-0.2628458
Mean1.427169733
Median Absolute Deviation (MAD)0.510099569
Skewness0.5861537724
Sum148.4256522
Variance0.5289767731
MonotonicityNot monotonic
2025-11-14T18:32:54.634982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.5574815163
 
2.9%
1.6169101662
 
1.9%
1.7399926631
 
1.0%
0.9965189031
 
1.0%
0.5518048431
 
1.0%
2.7936226481
 
1.0%
1.1988519411
 
1.0%
2.2809315091
 
1.0%
1.5863201881
 
1.0%
1.1304634191
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.2188010141
1.0%
0.2469677321
1.0%
0.2667737251
1.0%
0.3917138531
1.0%
0.4193765311
1.0%
ValueCountFrequency (%)
3.4446439661
1.0%
3.3468772151
1.0%
2.9887461541
1.0%
2.9407609571
1.0%
2.7936226481
1.0%

mean_acc_on_paper17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1624985612
Minimum0.124874726
Maximum0.251165019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:54.723669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.124874726
5-th percentile0.1283273099
Q10.1458103453
median0.156837205
Q30.174399988
95-th percentile0.2108259234
Maximum0.251165019
Range0.126290293
Interquartile range (IQR)0.02858964275

Descriptive statistics

Standard deviation0.02633099229
Coefficient of variation (CV)0.1620383103
Kurtosis1.068937461
Mean0.1624985612
Median Absolute Deviation (MAD)0.016156582
Skewness1.034684
Sum16.89985036
Variance0.0006933211548
MonotonicityNot monotonic
2025-11-14T18:32:54.823395image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1305243013
 
2.9%
0.1258226932
 
1.9%
0.2108874291
 
1.0%
0.1537978431
 
1.0%
0.1432521891
 
1.0%
0.2372343111
 
1.0%
0.1393644691
 
1.0%
0.2006493741
 
1.0%
0.1326923011
 
1.0%
0.1630653771
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.1248747261
1.0%
0.1250652561
1.0%
0.1258226932
1.9%
0.1274272131
1.0%
0.1282399341
1.0%
ValueCountFrequency (%)
0.2511650191
1.0%
0.2372343111
1.0%
0.2368995051
1.0%
0.2226752081
1.0%
0.2135825581
1.0%

mean_gmrt17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276.7513792
Minimum96.77924466
Maximum560.0819402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:54.911036image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum96.77924466
5-th percentile119.9246283
Q1207.7913769
median263.1905016
Q3336.2987268
95-th percentile442.7543679
Maximum560.0819402
Range463.3026955
Interquartile range (IQR)128.5073499

Descriptive statistics

Standard deviation97.80038193
Coefficient of variation (CV)0.3533871529
Kurtosis0.278617549
Mean276.7513792
Median Absolute Deviation (MAD)60.78476755
Skewness0.4639173458
Sum28782.14343
Variance9564.914705
MonotonicityNot monotonic
2025-11-14T18:32:54.999579image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
406.8164723
 
2.9%
294.60422322
 
1.9%
377.0508531
 
1.0%
245.70214081
 
1.0%
105.38018531
 
1.0%
560.08194021
 
1.0%
176.66289771
 
1.0%
382.50844311
 
1.0%
269.87171781
 
1.0%
263.28891811
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
96.779244661
1.0%
99.956690981
1.0%
100.10485611
1.0%
105.38018531
1.0%
107.30571761
1.0%
ValueCountFrequency (%)
560.08194021
1.0%
537.58193141
1.0%
527.51701511
1.0%
480.81570871
1.0%
469.43613341
1.0%

mean_jerk_in_air17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2704152277
Minimum0.024377627
Maximum0.674088442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:55.078468image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.024377627
5-th percentile0.08306547515
Q10.152385129
median0.2476677175
Q30.3582023562
95-th percentile0.50033415
Maximum0.674088442
Range0.649710815
Interquartile range (IQR)0.2058172272

Descriptive statistics

Standard deviation0.1455209649
Coefficient of variation (CV)0.5381389431
Kurtosis-0.2367977124
Mean0.2704152277
Median Absolute Deviation (MAD)0.1000600795
Skewness0.5933954791
Sum28.12318369
Variance0.02117635122
MonotonicityNot monotonic
2025-11-14T18:32:55.179039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.500334153
 
2.9%
0.3109862742
 
1.9%
0.3377316221
 
1.0%
0.1864988921
 
1.0%
0.0943457511
 
1.0%
0.5428556531
 
1.0%
0.2239774041
 
1.0%
0.4387289381
 
1.0%
0.298419011
 
1.0%
0.2088063981
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.0243776271
1.0%
0.036312941
1.0%
0.0400137321
1.0%
0.0625314691
1.0%
0.0695276441
1.0%
ValueCountFrequency (%)
0.6740884421
1.0%
0.659471211
1.0%
0.582431841
1.0%
0.5759304071
1.0%
0.5428556531
1.0%

mean_jerk_on_paper17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01996690461
Minimum0.014990528
Maximum0.02798327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:55.442085image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.014990528
5-th percentile0.0168698904
Q10.01812295025
median0.019539122
Q30.02125829
95-th percentile0.02524627655
Maximum0.02798327
Range0.012992742
Interquartile range (IQR)0.00313533975

Descriptive statistics

Standard deviation0.002563918615
Coefficient of variation (CV)0.1284084171
Kurtosis0.6142448702
Mean0.01996690461
Median Absolute Deviation (MAD)0.0014716885
Skewness0.8414817566
Sum2.076558079
Variance6.573678662 × 10-6
MonotonicityNot monotonic
2025-11-14T18:32:55.526303image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0176131873
 
2.9%
0.0169425792
 
1.9%
0.0244780591
 
1.0%
0.0189853331
 
1.0%
0.017090971
 
1.0%
0.0253098211
 
1.0%
0.017059391
 
1.0%
0.025708791
 
1.0%
0.017389251
 
1.0%
0.0201294941
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.0149905281
1.0%
0.0152762831
1.0%
0.0158645731
1.0%
0.0166348351
1.0%
0.0167266211
1.0%
ValueCountFrequency (%)
0.027983271
1.0%
0.0271464411
1.0%
0.025708791
1.0%
0.0256968751
1.0%
0.0253098211
1.0%

mean_speed_in_air17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.866762273
Minimum1.667468456
Maximum14.81421143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:55.630368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.667468456
5-th percentile2.259505671
Q14.164470943
median5.613905947
Q37.122997647
95-th percentile9.731718956
Maximum14.81421143
Range13.14674297
Interquartile range (IQR)2.958526704

Descriptive statistics

Standard deviation2.519714011
Coefficient of variation (CV)0.4294897073
Kurtosis0.67210105
Mean5.866762273
Median Absolute Deviation (MAD)1.520460646
Skewness0.6887091423
Sum610.1432764
Variance6.348958699
MonotonicityNot monotonic
2025-11-14T18:32:55.746855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6134757343
 
2.9%
6.5753657892
 
1.9%
7.5090277431
 
1.0%
4.956521151
 
1.0%
2.4607953831
 
1.0%
11.123946551
 
1.0%
5.0777532851
 
1.0%
9.1644448681
 
1.0%
5.3796531211
 
1.0%
5.2114706361
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
1.6674684561
1.0%
1.6750239071
1.0%
1.6829106541
1.0%
1.8814693821
1.0%
2.0711309441
1.0%
ValueCountFrequency (%)
14.814211431
1.0%
11.805505041
1.0%
11.589151511
1.0%
11.209417321
1.0%
11.123946551
1.0%

mean_speed_on_paper17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.996360186
Minimum0.883977955
Maximum6.07009088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:55.842818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.883977955
5-th percentile1.271590871
Q12.433966442
median3.069436045
Q33.500069897
95-th percentile4.721740957
Maximum6.07009088
Range5.186112925
Interquartile range (IQR)1.066103455

Descriptive statistics

Standard deviation1.034060899
Coefficient of variation (CV)0.3451056733
Kurtosis0.3394184796
Mean2.996360186
Median Absolute Deviation (MAD)0.5149971005
Skewness0.2231456752
Sum311.6214593
Variance1.069281943
MonotonicityNot monotonic
2025-11-14T18:32:55.955192image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0571608143
 
2.9%
2.9720265612
 
1.9%
4.7316874841
 
1.0%
2.9881219591
 
1.0%
0.8839779551
 
1.0%
5.8153197141
 
1.0%
1.1516886521
 
1.0%
3.9315213151
 
1.0%
3.0742977871
 
1.0%
3.2985461251
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
0.8839779551
1.0%
0.9278826871
1.0%
0.9657695261
1.0%
1.1320745471
1.0%
1.1516886521
1.0%
ValueCountFrequency (%)
6.070090881
1.0%
5.8153197141
1.0%
5.0537298421
1.0%
5.0269664911
1.0%
4.7439339081
1.0%

num_of_pendown17
Real number (ℝ)

Distinct44
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.26923077
Minimum4
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:56.061455image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17
Q129
median35
Q347
95-th percentile62
Maximum85
Range81
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.25103012
Coefficient of variation (CV)0.3823805812
Kurtosis1.058006215
Mean37.26923077
Median Absolute Deviation (MAD)8
Skewness0.6992973663
Sum3876
Variance203.0918596
MonotonicityNot monotonic
2025-11-14T18:32:56.139902image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
296
 
5.8%
325
 
4.8%
384
 
3.8%
474
 
3.8%
254
 
3.8%
344
 
3.8%
174
 
3.8%
404
 
3.8%
334
 
3.8%
314
 
3.8%
Other values (34)61
58.7%
ValueCountFrequency (%)
41
 
1.0%
101
 
1.0%
141
 
1.0%
152
1.9%
174
3.8%
ValueCountFrequency (%)
851
1.0%
781
1.0%
751
1.0%
651
1.0%
641
1.0%

paper_time17
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19686.10577
Minimum1405
Maximum55695
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:56.243933image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1405
5-th percentile11092.75
Q114692.5
median17102.5
Q321802.5
95-th percentile36104.5
Maximum55695
Range54290
Interquartile range (IQR)7110

Descriptive statistics

Standard deviation9228.966034
Coefficient of variation (CV)0.4688060779
Kurtosis5.03498787
Mean19686.10577
Median Absolute Deviation (MAD)3620
Skewness2.033407346
Sum2047355
Variance85173814.06
MonotonicityNot monotonic
2025-11-14T18:32:56.327068image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
172453
 
2.9%
233502
 
1.9%
221452
 
1.9%
131801
 
1.0%
153251
 
1.0%
113351
 
1.0%
351951
 
1.0%
134151
 
1.0%
171301
 
1.0%
148901
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
14051
1.0%
62951
1.0%
98451
1.0%
107951
1.0%
109151
1.0%
ValueCountFrequency (%)
556951
1.0%
545751
1.0%
495651
1.0%
488251
1.0%
470251
1.0%

pressure_mean17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1611.688058
Minimum364.8487738
Maximum1998.745987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:56.419568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum364.8487738
5-th percentile830.4920142
Q11494.266249
median1729.851554
Q31880.167301
95-th percentile1983.385434
Maximum1998.745987
Range1633.897213
Interquartile range (IQR)385.901052

Descriptive statistics

Standard deviation372.0235453
Coefficient of variation (CV)0.2308285051
Kurtosis1.865783483
Mean1611.688058
Median Absolute Deviation (MAD)174.9664025
Skewness-1.511456839
Sum167615.5581
Variance138401.5182
MonotonicityNot monotonic
2025-11-14T18:32:56.513595image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1998.476373
 
2.9%
1847.2169792
 
1.9%
1988.7242031
 
1.0%
1882.3073381
 
1.0%
1168.5683011
 
1.0%
1939.1795321
 
1.0%
1180.5210971
 
1.0%
1776.0670891
 
1.0%
1958.1911851
 
1.0%
1793.7756881
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
364.84877381
1.0%
462.58740721
1.0%
551.34014451
1.0%
610.63254331
1.0%
647.45517241
1.0%
ValueCountFrequency (%)
1998.7459871
 
1.0%
1998.476373
2.9%
1988.7242031
 
1.0%
1987.0929351
 
1.0%
1962.3762641
 
1.0%

pressure_var17
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164381.3725
Minimum25135.48476
Maximum423923.6347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:56.602050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25135.48476
5-th percentile41455.54837
Q1113361.5983
median169702.9459
Q3205584.1973
95-th percentile270336.3916
Maximum423923.6347
Range398788.1499
Interquartile range (IQR)92222.59903

Descriptive statistics

Standard deviation70339.88079
Coefficient of variation (CV)0.4279066399
Kurtosis0.7431113917
Mean164381.3725
Median Absolute Deviation (MAD)47821.848
Skewness0.3080817728
Sum17095662.74
Variance4947698830
MonotonicityNot monotonic
2025-11-14T18:32:56.690711image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41455.548373
 
2.9%
184288.30762
 
1.9%
46947.912181
 
1.0%
191620.05631
 
1.0%
290510.03111
 
1.0%
94387.263311
 
1.0%
172177.84441
 
1.0%
209506.38311
 
1.0%
82962.380551
 
1.0%
139046.29961
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
25135.484761
 
1.0%
37271.00351
 
1.0%
41153.839571
 
1.0%
41354.512511
 
1.0%
41455.548373
2.9%
ValueCountFrequency (%)
423923.63471
1.0%
313834.74481
1.0%
294539.39621
1.0%
290510.03111
1.0%
276364.67691
1.0%

total_time17
Real number (ℝ)

Distinct100
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58978.45192
Minimum3305
Maximum882690
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:56.773656image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3305
5-th percentile17627.75
Q126542.5
median34110
Q359441.25
95-th percentile145585.5
Maximum882690
Range879385
Interquartile range (IQR)32898.75

Descriptive statistics

Standard deviation95854.35162
Coefficient of variation (CV)1.625243602
Kurtosis54.50813632
Mean58978.45192
Median Absolute Deviation (MAD)11375
Skewness6.773204433
Sum6133759
Variance9188056724
MonotonicityNot monotonic
2025-11-14T18:32:56.875201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
262953
 
2.9%
474302
 
1.9%
353952
 
1.9%
3539301
 
1.0%
932201
 
1.0%
1490551
 
1.0%
172551
 
1.0%
832901
 
1.0%
220451
 
1.0%
338301
 
1.0%
Other values (90)90
86.5%
ValueCountFrequency (%)
33051
1.0%
126401
1.0%
153051
1.0%
168051
1.0%
170151
1.0%
ValueCountFrequency (%)
8826901
1.0%
3539301
1.0%
3109201
1.0%
1857501
1.0%
1525351
1.0%

air_time18
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3405.375
Minimum245
Maximum67295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:56.961616image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum245
5-th percentile532.5
Q1935
median1622.5
Q33100
95-th percentile10766.75
Maximum67295
Range67050
Interquartile range (IQR)2165

Descriptive statistics

Standard deviation7101.131932
Coefficient of variation (CV)2.085271646
Kurtosis64.67606206
Mean3405.375
Median Absolute Deviation (MAD)882.5
Skewness7.387221597
Sum354159
Variance50426074.72
MonotonicityNot monotonic
2025-11-14T18:32:57.056491image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5952
 
1.9%
25302
 
1.9%
8002
 
1.9%
13252
 
1.9%
9402
 
1.9%
19452
 
1.9%
28251
 
1.0%
5801
 
1.0%
5751
 
1.0%
126251
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
2451
1.0%
3401
1.0%
3851
1.0%
4251
1.0%
4501
1.0%
ValueCountFrequency (%)
672951
1.0%
174551
1.0%
151951
1.0%
126251
1.0%
113251
1.0%

disp_index18
Real number (ℝ)

Distinct87
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.904519231 × 10-6
Minimum1.97 × 10-6
Maximum2.82 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:57.139896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.97 × 10-6
5-th percentile3.051 × 10-6
Q13.97 × 10-6
median4.555 × 10-6
Q35.39 × 10-6
95-th percentile6.7625 × 10-6
Maximum2.82 × 10-5
Range2.623 × 10-5
Interquartile range (IQR)1.42 × 10-6

Descriptive statistics

Standard deviation2.576878476 × 10-6
Coefficient of variation (CV)0.525408986
Kurtosis0
Mean4.904519231 × 10-6
Median Absolute Deviation (MAD)6.85 × 10-7
Skewness7.327829246
Sum0.00051007
Variance6.640302679 × 10-12
MonotonicityNot monotonic
2025-11-14T18:32:57.235477image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.6 × 10-63
 
2.9%
4.67 × 10-63
 
2.9%
5.49 × 10-62
 
1.9%
3.72 × 10-62
 
1.9%
4.36 × 10-62
 
1.9%
5.26 × 10-62
 
1.9%
3.68 × 10-62
 
1.9%
3.99 × 10-62
 
1.9%
6.01 × 10-62
 
1.9%
4.47 × 10-62
 
1.9%
Other values (77)82
78.8%
ValueCountFrequency (%)
1.97 × 10-61
1.0%
2.19 × 10-61
1.0%
2.79 × 10-61
1.0%
2.91 × 10-61
1.0%
3.03 × 10-62
1.9%
ValueCountFrequency (%)
2.82 × 10-51
1.0%
9.05 × 10-61
1.0%
7.66 × 10-61
1.0%
7.38 × 10-61
1.0%
7.08 × 10-61
1.0%

gmrt_in_air18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean231.4469867
Minimum69.09232346
Maximum1381.017503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:57.318974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum69.09232346
5-th percentile86.22464288
Q1128.9747103
median182.4564333
Q3284.6071652
95-th percentile457.1248755
Maximum1381.017503
Range1311.92518
Interquartile range (IQR)155.6324549

Descriptive statistics

Standard deviation167.1318501
Coefficient of variation (CV)0.7221172004
Kurtosis21.18011131
Mean231.4469867
Median Absolute Deviation (MAD)66.58626855
Skewness3.599080149
Sum24070.48662
Variance27933.05532
MonotonicityNot monotonic
2025-11-14T18:32:57.412882image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
284.37709512
 
1.9%
356.54851122
 
1.9%
117.06086331
 
1.0%
241.38473041
 
1.0%
181.13411641
 
1.0%
89.480350961
 
1.0%
233.87482891
 
1.0%
525.3781731
 
1.0%
181.69764381
 
1.0%
245.81839871
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
69.092323461
1.0%
71.145116531
1.0%
78.293499281
1.0%
80.16933781
1.0%
82.522700881
1.0%
ValueCountFrequency (%)
1381.0175031
1.0%
691.77588991
1.0%
577.64876121
1.0%
525.3781731
1.0%
472.4027051
1.0%

gmrt_on_paper18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.5709005
Minimum22.22213286
Maximum410.7436334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:57.675795image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum22.22213286
5-th percentile88.34357122
Q1139.4258863
median174.0964077
Q3239.9173134
95-th percentile311.2003229
Maximum410.7436334
Range388.5215005
Interquartile range (IQR)100.4914271

Descriptive statistics

Standard deviation72.81353115
Coefficient of variation (CV)0.3840965621
Kurtosis-0.1263175922
Mean189.5709005
Median Absolute Deviation (MAD)44.8304245
Skewness0.3927472067
Sum19715.37365
Variance5301.810318
MonotonicityNot monotonic
2025-11-14T18:32:57.759322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
165.30677582
 
1.9%
171.65305562
 
1.9%
88.306470891
 
1.0%
235.91754921
 
1.0%
82.984445571
 
1.0%
134.09703841
 
1.0%
218.05400611
 
1.0%
311.68690541
 
1.0%
116.64741771
 
1.0%
186.55713911
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
22.222132861
1.0%
53.699323611
1.0%
57.255945191
1.0%
79.420137731
1.0%
82.984445571
1.0%
ValueCountFrequency (%)
410.74363341
1.0%
339.25519451
1.0%
328.65793841
1.0%
323.57003141
1.0%
314.31404191
1.0%

max_x_extension18
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1360.173077
Minimum340
Maximum7179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:57.853535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum340
5-th percentile724.7
Q1956.75
median1278.5
Q31576.5
95-th percentile2083.55
Maximum7179
Range6839
Interquartile range (IQR)619.75

Descriptive statistics

Standard deviation730.9654002
Coefficient of variation (CV)0.5374061674
Kurtosis38.74763145
Mean1360.173077
Median Absolute Deviation (MAD)318
Skewness5.081423934
Sum141458
Variance534310.4164
MonotonicityNot monotonic
2025-11-14T18:32:57.940135image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13632
 
1.9%
12212
 
1.9%
13492
 
1.9%
10892
 
1.9%
14772
 
1.9%
20811
 
1.0%
12901
 
1.0%
12331
 
1.0%
7941
 
1.0%
9571
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
3401
1.0%
5181
1.0%
6531
1.0%
6831
1.0%
7151
1.0%
ValueCountFrequency (%)
71791
1.0%
26941
1.0%
26241
1.0%
25681
1.0%
23491
1.0%

max_y_extension18
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3524.394231
Minimum1440
Maximum10225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:58.037582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1440
5-th percentile2104.2
Q12728.25
median3282
Q34039.5
95-th percentile5672.95
Maximum10225
Range8785
Interquartile range (IQR)1311.25

Descriptive statistics

Standard deviation1286.289527
Coefficient of variation (CV)0.3649675497
Kurtosis7.151290842
Mean3524.394231
Median Absolute Deviation (MAD)632
Skewness2.011919182
Sum366537
Variance1654540.746
MonotonicityNot monotonic
2025-11-14T18:32:58.123243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32693
 
2.9%
36912
 
1.9%
32952
 
1.9%
30912
 
1.9%
51981
 
1.0%
33721
 
1.0%
28251
 
1.0%
18861
 
1.0%
28161
 
1.0%
56801
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
14401
1.0%
15011
1.0%
18861
1.0%
19601
1.0%
19951
1.0%
ValueCountFrequency (%)
102251
1.0%
78251
1.0%
66661
1.0%
62831
1.0%
59531
1.0%

mean_acc_in_air18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.371376549
Minimum0.146511064
Maximum3.204440014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:58.234341image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.146511064
5-th percentile0.1706125599
Q10.2040422002
median0.245380144
Q30.3250026757
95-th percentile0.791974223
Maximum3.204440014
Range3.05792895
Interquartile range (IQR)0.1209604755

Descriptive statistics

Standard deviation0.4284124906
Coefficient of variation (CV)1.153579815
Kurtosis25.17294913
Mean0.371376549
Median Absolute Deviation (MAD)0.051271738
Skewness4.713421121
Sum38.62316109
Variance0.1835372621
MonotonicityNot monotonic
2025-11-14T18:32:58.328996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2092386672
 
1.9%
0.279841232
 
1.9%
0.4276395361
 
1.0%
0.2393134941
 
1.0%
0.2449410441
 
1.0%
0.1904813661
 
1.0%
0.2357568681
 
1.0%
0.5407037751
 
1.0%
0.2383687871
 
1.0%
0.7311114171
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.1465110641
1.0%
0.1547257771
1.0%
0.158641241
1.0%
0.1622087791
1.0%
0.1649935491
1.0%
ValueCountFrequency (%)
3.2044400141
1.0%
2.5070942371
1.0%
1.9615283561
1.0%
1.2268455621
1.0%
1.0403967511
1.0%

mean_acc_on_paper18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1608246608
Minimum0.090818273
Maximum0.293575572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:58.423295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.090818273
5-th percentile0.1077873643
Q10.1344471188
median0.156198872
Q30.1781207587
95-th percentile0.2320476903
Maximum0.293575572
Range0.202757299
Interquartile range (IQR)0.04367364

Descriptive statistics

Standard deviation0.03693870669
Coefficient of variation (CV)0.2296831003
Kurtosis1.388879817
Mean0.1608246608
Median Absolute Deviation (MAD)0.021755324
Skewness0.9172535835
Sum16.72576472
Variance0.001364468052
MonotonicityNot monotonic
2025-11-14T18:32:58.524141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1298202132
 
1.9%
0.1246190722
 
1.9%
0.1472377771
 
1.0%
0.1973273651
 
1.0%
0.1483470511
 
1.0%
0.1367676061
 
1.0%
0.1657503881
 
1.0%
0.203419211
 
1.0%
0.153694761
 
1.0%
0.1545907321
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0908182731
1.0%
0.1015629051
1.0%
0.1016851571
1.0%
0.1035751171
1.0%
0.1059499471
1.0%
ValueCountFrequency (%)
0.2935755721
1.0%
0.2576265531
1.0%
0.256823051
1.0%
0.250114541
1.0%
0.2420111251
1.0%

mean_gmrt18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.5089436
Minimum54.15175024
Maximum836.1543553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:58.612115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum54.15175024
5-th percentile94.41839314
Q1139.202245
median184.845174
Q3264.1007834
95-th percentile384.3916529
Maximum836.1543553
Range782.0026051
Interquartile range (IQR)124.8985384

Descriptive statistics

Standard deviation106.4757763
Coefficient of variation (CV)0.5058016749
Kurtosis10.53717756
Mean210.5089436
Median Absolute Deviation (MAD)55.2702905
Skewness2.304462222
Sum21892.93014
Variance11337.09093
MonotonicityNot monotonic
2025-11-14T18:32:58.706510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224.84193542
 
1.9%
264.10078342
 
1.9%
102.68366711
 
1.0%
238.65113981
 
1.0%
132.0592811
 
1.0%
111.78869471
 
1.0%
225.96441751
 
1.0%
418.53253921
 
1.0%
149.17253071
 
1.0%
216.18776891
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
54.151750241
1.0%
63.174134331
1.0%
72.200298871
1.0%
79.849461471
1.0%
87.215455961
1.0%
ValueCountFrequency (%)
836.15435531
1.0%
476.70443091
1.0%
418.53253921
1.0%
403.69330421
1.0%
388.2586381
1.0%

mean_jerk_in_air18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05799906232
Minimum0.020268223
Maximum0.626246749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:58.789967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.020268223
5-th percentile0.02144405595
Q10.02693273275
median0.032526632
Q30.0437335815
95-th percentile0.1500317929
Maximum0.626246749
Range0.605978526
Interquartile range (IQR)0.01680084875

Descriptive statistics

Standard deviation0.08418323999
Coefficient of variation (CV)1.451458638
Kurtosis25.61790609
Mean0.05799906232
Median Absolute Deviation (MAD)0.0081553565
Skewness4.73577332
Sum6.031902481
Variance0.007086817894
MonotonicityNot monotonic
2025-11-14T18:32:58.873131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0253342122
 
1.9%
0.0270317042
 
1.9%
0.0706084761
 
1.0%
0.0288799941
 
1.0%
0.0346223721
 
1.0%
0.0265091871
 
1.0%
0.0360143021
 
1.0%
0.0907251671
 
1.0%
0.0323139631
 
1.0%
0.1313521111
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0202682231
1.0%
0.0206498661
1.0%
0.0207892691
1.0%
0.0211660851
1.0%
0.0211995761
1.0%
ValueCountFrequency (%)
0.6262467491
1.0%
0.4499591741
1.0%
0.3802241371
1.0%
0.2293747371
1.0%
0.1910603721
1.0%

mean_jerk_on_paper18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0191106239
Minimum0.011560533
Maximum0.029256305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:58.979130image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.011560533
5-th percentile0.01373280885
Q10.0170644705
median0.0188438715
Q30.0215393445
95-th percentile0.0245377669
Maximum0.029256305
Range0.017695772
Interquartile range (IQR)0.004474874

Descriptive statistics

Standard deviation0.003255972849
Coefficient of variation (CV)0.1703750158
Kurtosis0.2929368763
Mean0.0191106239
Median Absolute Deviation (MAD)0.0023973755
Skewness0.3294889697
Sum1.987504886
Variance1.060135919 × 10-5
MonotonicityNot monotonic
2025-11-14T18:32:59.075719image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0162841342
 
1.9%
0.0164464962
 
1.9%
0.0189272381
 
1.0%
0.0211696441
 
1.0%
0.0176350971
 
1.0%
0.0165192881
 
1.0%
0.0186500391
 
1.0%
0.0191941241
 
1.0%
0.0162549921
 
1.0%
0.0195071471
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.0115605331
1.0%
0.012692981
1.0%
0.0130280411
1.0%
0.0132051471
1.0%
0.0132718531
1.0%
ValueCountFrequency (%)
0.0292563051
1.0%
0.0270310391
1.0%
0.0258825531
1.0%
0.0258551881
1.0%
0.0251541231
1.0%

mean_speed_in_air18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.045369287
Minimum0.818064287
Maximum25.15018909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:59.170551image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.818064287
5-th percentile1.444615042
Q12.338113051
median3.146607474
Q34.829197533
95-th percentile7.83261829
Maximum25.15018909
Range24.3321248
Interquartile range (IQR)2.491084482

Descriptive statistics

Standard deviation2.995062566
Coefficient of variation (CV)0.7403681479
Kurtosis23.88081783
Mean4.045369287
Median Absolute Deviation (MAD)1.128549884
Skewness3.92833075
Sum420.7184058
Variance8.970399777
MonotonicityNot monotonic
2025-11-14T18:32:59.351209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.8367700012
 
1.9%
4.5934710672
 
1.9%
2.3240666721
 
1.0%
2.7366360851
 
1.0%
3.6727895131
 
1.0%
1.3348329391
 
1.0%
4.826181711
 
1.0%
6.9415456061
 
1.0%
3.1239608071
 
1.0%
4.8382450011
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.8180642871
1.0%
1.2873379451
1.0%
1.3087141921
1.0%
1.3348329391
1.0%
1.4273322991
1.0%
ValueCountFrequency (%)
25.150189091
1.0%
13.429607481
1.0%
10.885242891
1.0%
8.6374427521
1.0%
8.002309821
1.0%

mean_speed_on_paper18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.453337525
Minimum0.3985032
Maximum7.179519579
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:59.438905image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.3985032
5-th percentile1.492001829
Q12.543391229
median3.18305885
Q34.312307295
95-th percentile5.989213066
Maximum7.179519579
Range6.781016379
Interquartile range (IQR)1.768916066

Descriptive statistics

Standard deviation1.39609267
Coefficient of variation (CV)0.4042734484
Kurtosis-0.2010092172
Mean3.453337525
Median Absolute Deviation (MAD)0.855670555
Skewness0.4358131041
Sum359.1471026
Variance1.949074742
MonotonicityNot monotonic
2025-11-14T18:32:59.528645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3835022762
 
1.9%
3.3475135472
 
1.9%
1.4853974831
 
1.0%
4.9306841431
 
1.0%
1.2997835381
 
1.0%
2.7606471691
 
1.0%
4.0685456021
 
1.0%
6.13954471
 
1.0%
2.2681408051
 
1.0%
3.1842501121
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
0.39850321
1.0%
0.9087621511
1.0%
1.210705161
1.0%
1.2745975961
1.0%
1.2997835381
1.0%
ValueCountFrequency (%)
7.1795195791
1.0%
6.6162874031
1.0%
6.5257316421
1.0%
6.13954471
1.0%
6.1234791381
1.0%

num_of_pendown18
Real number (ℝ)

Distinct14
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.855769231
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:59.601503image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q37
95-th percentile9.85
Maximum86
Range85
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.305359446
Coefficient of variation (CV)1.418320825
Kurtosis86.18138859
Mean5.855769231
Median Absolute Deviation (MAD)1
Skewness8.900964778
Sum609
Variance68.97899552
MonotonicityNot monotonic
2025-11-14T18:32:59.664062image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
428
26.9%
714
13.5%
514
13.5%
612
11.5%
311
 
10.6%
28
 
7.7%
85
 
4.8%
14
 
3.8%
92
 
1.9%
102
 
1.9%
Other values (4)4
 
3.8%
ValueCountFrequency (%)
14
 
3.8%
28
 
7.7%
311
 
10.6%
428
26.9%
514
13.5%
ValueCountFrequency (%)
861
1.0%
151
1.0%
141
1.0%
111
1.0%
102
1.9%

paper_time18
Real number (ℝ)

Distinct92
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2912.019231
Minimum915
Maximum27700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:32:59.739887image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum915
5-th percentile1540.75
Q11925
median2260
Q32766.25
95-th percentile5534.5
Maximum27700
Range26785
Interquartile range (IQR)841.25

Descriptive statistics

Standard deviation3048.352453
Coefficient of variation (CV)1.046817418
Kurtosis47.82404806
Mean2912.019231
Median Absolute Deviation (MAD)447.5
Skewness6.504132402
Sum302850
Variance9292452.679
MonotonicityNot monotonic
2025-11-14T18:32:59.989824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21903
 
2.9%
27202
 
1.9%
23402
 
1.9%
23002
 
1.9%
17452
 
1.9%
22002
 
1.9%
27552
 
1.9%
26652
 
1.9%
20552
 
1.9%
21552
 
1.9%
Other values (82)83
79.8%
ValueCountFrequency (%)
9151
1.0%
11351
1.0%
13351
1.0%
13501
1.0%
14201
1.0%
ValueCountFrequency (%)
277001
1.0%
177951
1.0%
65951
1.0%
63101
1.0%
59801
1.0%

pressure_mean18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1644.540267
Minimum493.2628205
Maximum2022.042056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:00.092204image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum493.2628205
5-th percentile936.9758347
Q11527.009002
median1774.120769
Q31882.182613
95-th percentile2000.976288
Maximum2022.042056
Range1528.779236
Interquartile range (IQR)355.1736117

Descriptive statistics

Standard deviation342.5096859
Coefficient of variation (CV)0.2082707811
Kurtosis1.670303358
Mean1644.540267
Median Absolute Deviation (MAD)162.529448
Skewness-1.403963434
Sum171032.1878
Variance117312.885
MonotonicityNot monotonic
2025-11-14T18:33:00.185350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2013.3161762
 
1.9%
1857.7749552
 
1.9%
1645.971
 
1.0%
1981.3005951
 
1.0%
713.38364171
 
1.0%
1883.3178651
 
1.0%
1973.5075761
 
1.0%
1987.4702261
 
1.0%
1974.2386361
 
1.0%
1843.3605441
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
493.26282051
1.0%
589.42222221
1.0%
644.76280831
1.0%
713.38364171
1.0%
880.53763441
1.0%
ValueCountFrequency (%)
2022.0420561
1.0%
2015.3987921
1.0%
2014.5181061
1.0%
2013.3161762
1.9%
2001.6097561
1.0%

pressure_var18
Real number (ℝ)

Distinct102
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156681.6352
Minimum19420.02828
Maximum492977.7314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:00.272865image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum19420.02828
5-th percentile38780.65287
Q189537.89857
median154898.7483
Q3196312.7492
95-th percentile302937.9988
Maximum492977.7314
Range473557.7031
Interquartile range (IQR)106774.8507

Descriptive statistics

Standard deviation88455.05884
Coefficient of variation (CV)0.564552819
Kurtosis1.119356307
Mean156681.6352
Median Absolute Deviation (MAD)60435.852
Skewness0.8278236616
Sum16294890.06
Variance7824297434
MonotonicityNot monotonic
2025-11-14T18:33:00.396785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39303.245622
 
1.9%
171931.06372
 
1.9%
195606.72581
 
1.0%
53995.674521
 
1.0%
100071.11281
 
1.0%
148985.04751
 
1.0%
60993.542871
 
1.0%
45978.672111
 
1.0%
74065.031691
 
1.0%
175987.33261
 
1.0%
Other values (92)92
88.5%
ValueCountFrequency (%)
19420.028281
1.0%
26210.66811
1.0%
26393.576111
1.0%
31474.767781
1.0%
34666.894611
1.0%
ValueCountFrequency (%)
492977.73141
1.0%
384229.04441
1.0%
363580.33671
1.0%
320328.46411
1.0%
317946.26081
1.0%

total_time18
Real number (ℝ)

Distinct101
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6317.394231
Minimum1340
Maximum94995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:00.476826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1340
5-th percentile2269
Q13103.75
median3980
Q36072.5
95-th percentile15546.5
Maximum94995
Range93655
Interquartile range (IQR)2968.75

Descriptive statistics

Standard deviation9799.560806
Coefficient of variation (CV)1.551202988
Kurtosis66.33833025
Mean6317.394231
Median Absolute Deviation (MAD)1110
Skewness7.529755246
Sum657009
Variance96031391.99
MonotonicityNot monotonic
2025-11-14T18:33:00.573930image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33152
 
1.9%
36952
 
1.9%
28702
 
1.9%
87101
 
1.0%
24801
 
1.0%
177601
 
1.0%
32251
 
1.0%
78551
 
1.0%
28201
 
1.0%
32351
 
1.0%
Other values (91)91
87.5%
ValueCountFrequency (%)
13401
1.0%
18901
1.0%
19301
1.0%
20801
1.0%
22301
1.0%
ValueCountFrequency (%)
949951
1.0%
285151
1.0%
230601
1.0%
177601
1.0%
170101
1.0%

air_time19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498486.4904
Minimum4000
Maximum9170100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:00.657116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4000
5-th percentile17868.75
Q136325
median44627.5
Q365485
95-th percentile365798
Maximum9170100
Range9166100
Interquartile range (IQR)29160

Descriptive statistics

Standard deviation1959154.488
Coefficient of variation (CV)3.930205785
Kurtosis16.66298398
Mean498486.4904
Median Absolute Deviation (MAD)13127.5
Skewness4.280513592
Sum51842595
Variance3.838286309 × 1012
MonotonicityNot monotonic
2025-11-14T18:33:00.740443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3632518
 
17.3%
91701005
 
4.8%
178201
 
1.0%
1433851
 
1.0%
261501
 
1.0%
3450751
 
1.0%
473801
 
1.0%
481201
 
1.0%
373901
 
1.0%
2036151
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
40001
1.0%
42601
1.0%
124901
1.0%
154601
1.0%
164701
1.0%
ValueCountFrequency (%)
91701005
4.8%
3694551
 
1.0%
3450751
 
1.0%
3232701
 
1.0%
2198151
 
1.0%

disp_index19
Real number (ℝ)

Distinct64
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.815375 × 10-5
Minimum4.43 × 10-6
Maximum3.83 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:00.823582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.43 × 10-6
5-th percentile1.5205 × 10-5
Q12.59 × 10-5
median2.92 × 10-5
Q33.39 × 10-5
95-th percentile3.39 × 10-5
Maximum3.83 × 10-5
Range3.387 × 10-5
Interquartile range (IQR)8 × 10-6

Descriptive statistics

Standard deviation6.365681835 × 10-6
Coefficient of variation (CV)0.2261042254
Kurtosis2.535773209
Mean2.815375 × 10-5
Median Absolute Deviation (MAD)3.95 × 10-6
Skewness-1.471016164
Sum0.00292799
Variance4.052190522 × 10-11
MonotonicityNot monotonic
2025-11-14T18:33:00.928015image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.39 × 10-523
 
22.1%
2.92 × 10-54
 
3.8%
2.83 × 10-53
 
2.9%
2.78 × 10-53
 
2.9%
2.93 × 10-53
 
2.9%
2.7 × 10-52
 
1.9%
2.72 × 10-52
 
1.9%
2.56 × 10-52
 
1.9%
2.98 × 10-52
 
1.9%
2.59 × 10-52
 
1.9%
Other values (54)58
55.8%
ValueCountFrequency (%)
4.43 × 10-61
1.0%
8.03 × 10-61
1.0%
9.33 × 10-61
1.0%
1.13 × 10-51
1.0%
1.2 × 10-51
1.0%
ValueCountFrequency (%)
3.83 × 10-51
1.0%
3.65 × 10-51
1.0%
3.54 × 10-51
1.0%
3.47 × 10-51
1.0%
3.41 × 10-51
1.0%

gmrt_in_air19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.5445234
Minimum61.27270702
Maximum278.1408614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:01.016429image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum61.27270702
5-th percentile95.34681849
Q1116.1016415
median128.058606
Q3166.0118576
95-th percentile224.459408
Maximum278.1408614
Range216.8681544
Interquartile range (IQR)49.91021607

Descriptive statistics

Standard deviation43.29767544
Coefficient of variation (CV)0.3016323745
Kurtosis0.6816714491
Mean143.5445234
Median Absolute Deviation (MAD)20.64015295
Skewness0.9994709301
Sum14928.63043
Variance1874.688699
MonotonicityNot monotonic
2025-11-14T18:33:01.094064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.05860618
 
17.3%
95.346818495
 
4.8%
224.99832771
 
1.0%
112.19182141
 
1.0%
123.1468231
 
1.0%
119.82803211
 
1.0%
116.72414071
 
1.0%
104.28914781
 
1.0%
187.35562021
 
1.0%
103.55079731
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
61.272707021
1.0%
67.851751071
1.0%
79.826453531
1.0%
92.414225721
1.0%
94.634342991
1.0%
ValueCountFrequency (%)
278.14086141
1.0%
263.91816361
1.0%
249.95713041
1.0%
248.37770881
1.0%
234.50581261
1.0%

gmrt_on_paper19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.0671431
Minimum51.30634181
Maximum273.0425789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:01.183071image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum51.30634181
5-th percentile79.20404643
Q1135.7440309
median165.7831627
Q3178.5954644
95-th percentile224.8573529
Maximum273.0425789
Range221.7362371
Interquartile range (IQR)42.85143345

Descriptive statistics

Standard deviation40.39794357
Coefficient of variation (CV)0.2523812369
Kurtosis0.8912771292
Mean160.0671431
Median Absolute Deviation (MAD)18.80032455
Skewness-0.4092230908
Sum16646.98289
Variance1631.993845
MonotonicityNot monotonic
2025-11-14T18:33:01.273052image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177.959055318
 
17.3%
126.83556715
 
4.8%
208.25914631
 
1.0%
122.4654361
 
1.0%
146.36387191
 
1.0%
124.63901581
 
1.0%
142.64386991
 
1.0%
165.45884011
 
1.0%
171.4283911
 
1.0%
53.003651611
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
51.306341811
1.0%
53.003651611
1.0%
58.648046951
1.0%
64.906651151
1.0%
74.642875921
1.0%
ValueCountFrequency (%)
273.04257891
1.0%
245.30045371
1.0%
230.94397581
1.0%
229.14964251
1.0%
228.81165751
1.0%

max_x_extension19
Real number (ℝ)

Distinct82
Distinct (%)78.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6864.788462
Minimum939
Maximum14816
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:01.357988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum939
5-th percentile2599.85
Q16897.5
median7239.5
Q37343.75
95-th percentile7570.1
Maximum14816
Range13877
Interquartile range (IQR)446.25

Descriptive statistics

Standard deviation1843.758001
Coefficient of variation (CV)0.2685819106
Kurtosis8.677549691
Mean6864.788462
Median Absolute Deviation (MAD)212.5
Skewness-0.02493038911
Sum713938
Variance3399443.566
MonotonicityNot monotonic
2025-11-14T18:33:01.441842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
734218
 
17.3%
74575
 
4.8%
69062
 
1.9%
53291
 
1.0%
70341
 
1.0%
74711
 
1.0%
50601
 
1.0%
74881
 
1.0%
71361
 
1.0%
64801
 
1.0%
Other values (72)72
69.2%
ValueCountFrequency (%)
9391
1.0%
12261
1.0%
13351
1.0%
14521
1.0%
20111
1.0%
ValueCountFrequency (%)
148161
1.0%
147701
1.0%
78151
1.0%
76811
1.0%
76651
1.0%

max_y_extension19
Real number (ℝ)

Distinct81
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9896.346154
Minimum2839
Maximum16820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:01.525578image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2839
5-th percentile5392.4
Q19900
median10455
Q310626
95-th percentile11016.1
Maximum16820
Range13981
Interquartile range (IQR)726

Descriptive statistics

Standard deviation1817.644629
Coefficient of variation (CV)0.183668255
Kurtosis5.916861802
Mean9896.346154
Median Absolute Deviation (MAD)291
Skewness-1.551217345
Sum1029220
Variance3303831.996
MonotonicityNot monotonic
2025-11-14T18:33:01.608996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1053918
 
17.3%
97935
 
4.8%
106792
 
1.9%
109302
 
1.9%
102871
 
1.0%
101251
 
1.0%
100501
 
1.0%
112231
 
1.0%
105301
 
1.0%
108891
 
1.0%
Other values (71)71
68.3%
ValueCountFrequency (%)
28391
1.0%
39921
1.0%
40561
1.0%
50611
1.0%
52301
1.0%
ValueCountFrequency (%)
168201
1.0%
113391
1.0%
112231
1.0%
111671
1.0%
110971
1.0%

mean_acc_in_air19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5743245346
Minimum0.1736385
Maximum1.509212173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:01.709593image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1736385
5-th percentile0.3406803597
Q10.444348921
median0.561538023
Q30.622953652
95-th percentile0.9284825791
Maximum1.509212173
Range1.335573673
Interquartile range (IQR)0.178604731

Descriptive statistics

Standard deviation0.1969878226
Coefficient of variation (CV)0.3429904362
Kurtosis5.780651748
Mean0.5743245346
Median Absolute Deviation (MAD)0.084870722
Skewness1.773126921
Sum59.7297516
Variance0.03880420227
MonotonicityNot monotonic
2025-11-14T18:33:01.795910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.56153802318
 
17.3%
0.4443489215
 
4.8%
0.8574249561
 
1.0%
0.4810945711
 
1.0%
0.5522314561
 
1.0%
0.584529121
 
1.0%
0.4226415561
 
1.0%
0.5222783621
 
1.0%
0.446446081
 
1.0%
0.4848073881
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
0.17363851
1.0%
0.2815487441
1.0%
0.294450181
1.0%
0.3249789661
1.0%
0.3346691631
1.0%
ValueCountFrequency (%)
1.5092121731
1.0%
1.3271003061
1.0%
1.0114613161
1.0%
0.9539507541
1.0%
0.9359315721
1.0%

mean_acc_on_paper19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1530806146
Minimum0.117689414
Maximum0.209466923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:01.888086image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.117689414
5-th percentile0.121603208
Q10.139267463
median0.1506443495
Q30.1674903913
95-th percentile0.1819381758
Maximum0.209466923
Range0.091777509
Interquartile range (IQR)0.02822292825

Descriptive statistics

Standard deviation0.01871968801
Coefficient of variation (CV)0.1222864701
Kurtosis-0.3561990902
Mean0.1530806146
Median Absolute Deviation (MAD)0.0123616975
Skewness0.2956995531
Sum15.92038392
Variance0.000350426719
MonotonicityNot monotonic
2025-11-14T18:33:02.139857image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13926746318
 
17.3%
0.1216032085
 
4.8%
0.1720680181
 
1.0%
0.1343165891
 
1.0%
0.1599339131
 
1.0%
0.1666350941
 
1.0%
0.1689990771
 
1.0%
0.161519271
 
1.0%
0.1551004181
 
1.0%
0.1617723531
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
0.1176894141
 
1.0%
0.1185635121
 
1.0%
0.1216032085
4.8%
0.1244601811
 
1.0%
0.1275561061
 
1.0%
ValueCountFrequency (%)
0.2094669231
1.0%
0.1938732131
1.0%
0.1868333521
1.0%
0.1842075661
1.0%
0.1833484221
1.0%

mean_gmrt19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.8058333
Minimum56.28952441
Maximum247.4310697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:02.239705image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum56.28952441
5-th percentile92.75197145
Q1130.5570204
median153.0088306
Q3170.5992145
95-th percentile216.1018233
Maximum247.4310697
Range191.1415453
Interquartile range (IQR)40.04219412

Descriptive statistics

Standard deviation35.5147193
Coefficient of variation (CV)0.2339483176
Kurtosis0.1461273414
Mean151.8058333
Median Absolute Deviation (MAD)20.38856595
Skewness0.2167039645
Sum15787.80666
Variance1261.295287
MonotonicityNot monotonic
2025-11-14T18:33:02.325694image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
153.008830618
 
17.3%
111.09119285
 
4.8%
216.6287371
 
1.0%
117.32862871
 
1.0%
134.75534741
 
1.0%
122.2335241
 
1.0%
129.68400531
 
1.0%
134.87399391
 
1.0%
179.39200561
 
1.0%
78.277224431
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
56.289524411
1.0%
78.277224431
1.0%
86.716689911
1.0%
87.603685291
1.0%
90.898035131
1.0%
ValueCountFrequency (%)
247.43106971
1.0%
221.95546261
1.0%
221.49354321
1.0%
221.13335211
1.0%
216.6287371
1.0%

mean_jerk_in_air19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1008191457
Minimum0.021736952
Maximum0.287457664
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:02.423115image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.021736952
5-th percentile0.05643178515
Q10.074218602
median0.09963796
Q30.1105394975
95-th percentile0.168134451
Maximum0.287457664
Range0.265720712
Interquartile range (IQR)0.0363208955

Descriptive statistics

Standard deviation0.03906461468
Coefficient of variation (CV)0.3874721852
Kurtosis5.858459807
Mean0.1008191457
Median Absolute Deviation (MAD)0.018815882
Skewness1.784755929
Sum10.48519115
Variance0.00152604412
MonotonicityNot monotonic
2025-11-14T18:33:02.513811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0996379618
 
17.3%
0.0742186025
 
4.8%
0.155888441
 
1.0%
0.0819627771
 
1.0%
0.0970318561
 
1.0%
0.1029555541
 
1.0%
0.0701077871
 
1.0%
0.0925301421
 
1.0%
0.0753926641
 
1.0%
0.0805062271
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
0.0217369521
1.0%
0.0436632121
1.0%
0.0459806341
1.0%
0.0526873281
1.0%
0.0548870091
1.0%
ValueCountFrequency (%)
0.2874576641
1.0%
0.2497177921
1.0%
0.1866087191
1.0%
0.17734821
1.0%
0.1734144481
1.0%

mean_jerk_on_paper19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01971567646
Minimum0.013432091
Maximum0.025592134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:02.619189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.013432091
5-th percentile0.01661912245
Q10.018503911
median0.0194602435
Q30.02104249725
95-th percentile0.0240187256
Maximum0.025592134
Range0.012160043
Interquartile range (IQR)0.00253858625

Descriptive statistics

Standard deviation0.002369805766
Coefficient of variation (CV)0.1201990594
Kurtosis0.1032507906
Mean0.01971567646
Median Absolute Deviation (MAD)0.001237048
Skewness0.2688481613
Sum2.050430352
Variance5.615979367 × 10-6
MonotonicityNot monotonic
2025-11-14T18:33:02.715662image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01864330718
 
17.3%
0.016729315
 
4.8%
0.0230241261
 
1.0%
0.0175581261
 
1.0%
0.0217418851
 
1.0%
0.0203900661
 
1.0%
0.0200201961
 
1.0%
0.0210887051
 
1.0%
0.020651691
 
1.0%
0.0173424971
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
0.0134320911
1.0%
0.0138543711
1.0%
0.0163340841
1.0%
0.0164365411
1.0%
0.0164717411
1.0%
ValueCountFrequency (%)
0.0255921341
1.0%
0.0249163981
1.0%
0.0248562821
1.0%
0.0246320511
1.0%
0.0245755781
1.0%

mean_speed_in_air19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.881438488
Minimum1.22460533
Maximum5.605655073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:02.800856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.22460533
5-th percentile2.025521414
Q12.259461284
median2.533590331
Q33.472925002
95-th percentile4.756475981
Maximum5.605655073
Range4.381049743
Interquartile range (IQR)1.213463718

Descriptive statistics

Standard deviation0.9375276846
Coefficient of variation (CV)0.3253679329
Kurtosis0.8623965141
Mean2.881438488
Median Absolute Deviation (MAD)0.367711691
Skewness1.161032038
Sum299.6696028
Variance0.8789581595
MonotonicityNot monotonic
2025-11-14T18:33:02.887118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.34475448418
 
17.3%
2.0255214145
 
4.8%
4.4891948761
 
1.0%
2.2618560431
 
1.0%
2.4804114761
 
1.0%
2.4594936811
 
1.0%
2.2450801561
 
1.0%
2.1738745911
 
1.0%
3.8061464521
 
1.0%
2.159611641
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
1.224605331
1.0%
1.3566183641
1.0%
1.6427165421
1.0%
1.6907734561
1.0%
1.9379388931
1.0%
ValueCountFrequency (%)
5.6056550731
1.0%
5.5908092471
1.0%
5.3997183881
1.0%
5.3712781511
1.0%
5.055270541
1.0%

mean_speed_on_paper19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.205038548
Minimum0.69770194
Maximum3.843388633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:02.973145image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.69770194
5-th percentile1.066646413
Q11.823022393
median2.254507446
Q32.486288163
95-th percentile3.201092394
Maximum3.843388633
Range3.145686693
Interquartile range (IQR)0.66326577

Descriptive statistics

Standard deviation0.6182787924
Coefficient of variation (CV)0.2803936434
Kurtosis0.143579114
Mean2.205038548
Median Absolute Deviation (MAD)0.355462835
Skewness-0.2095871161
Sum229.324009
Variance0.3822686651
MonotonicityNot monotonic
2025-11-14T18:33:03.060631image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.48480005518
 
17.3%
1.8230223935
 
4.8%
3.1637126141
 
1.0%
1.6139978551
 
1.0%
1.967979141
 
1.0%
1.5411958621
 
1.0%
1.8971433891
 
1.0%
2.0400310721
 
1.0%
2.2702272381
 
1.0%
0.697701941
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
0.697701941
1.0%
0.7804936641
1.0%
0.7939335531
1.0%
0.8486376481
1.0%
1.0369056691
1.0%
ValueCountFrequency (%)
3.8433886331
1.0%
3.4412680291
1.0%
3.3679423221
1.0%
3.2313351151
1.0%
3.2123533651
1.0%

num_of_pendown19
Real number (ℝ)

Distinct51
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.63461538
Minimum9
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:03.146623image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile24
Q135
median44.5
Q359.25
95-th percentile74.4
Maximum83
Range74
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation16.04669018
Coefficient of variation (CV)0.3440939751
Kurtosis-0.2954524925
Mean46.63461538
Median Absolute Deviation (MAD)9.5
Skewness0.1439728866
Sum4850
Variance257.4962659
MonotonicityNot monotonic
2025-11-14T18:33:03.239743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3518
 
17.3%
526
 
5.8%
435
 
4.8%
413
 
2.9%
623
 
2.9%
423
 
2.9%
613
 
2.9%
453
 
2.9%
602
 
1.9%
492
 
1.9%
Other values (41)56
53.8%
ValueCountFrequency (%)
91
1.0%
101
1.0%
141
1.0%
151
1.0%
211
1.0%
ValueCountFrequency (%)
831
1.0%
821
1.0%
811
1.0%
791
1.0%
761
1.0%

paper_time19
Real number (ℝ)

Distinct81
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24520.24038
Minimum2760
Maximum85710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:03.331784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2760
5-th percentile13484.75
Q120138.75
median24970
Q326061.25
95-th percentile36617.5
Maximum85710
Range82950
Interquartile range (IQR)5922.5

Descriptive statistics

Standard deviation9278.719346
Coefficient of variation (CV)0.3784106192
Kurtosis18.01528221
Mean24520.24038
Median Absolute Deviation (MAD)3150
Skewness2.828542281
Sum2550105
Variance86094632.71
MonotonicityNot monotonic
2025-11-14T18:33:03.423004image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2562518
 
17.3%
360655
 
4.8%
225202
 
1.9%
185702
 
1.9%
471901
 
1.0%
228651
 
1.0%
269451
 
1.0%
259901
 
1.0%
165651
 
1.0%
857101
 
1.0%
Other values (71)71
68.3%
ValueCountFrequency (%)
27601
1.0%
52651
1.0%
75951
1.0%
96501
1.0%
114451
1.0%
ValueCountFrequency (%)
857101
1.0%
471901
1.0%
410401
1.0%
408701
1.0%
403851
1.0%

pressure_mean19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1618.340106
Minimum508.1633798
Maximum1981.520709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:03.514948image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum508.1633798
5-th percentile817.4741808
Q11491.682067
median1724.94211
Q31870.662045
95-th percentile1925.246829
Maximum1981.520709
Range1473.357329
Interquartile range (IQR)378.979978

Descriptive statistics

Standard deviation347.2629675
Coefficient of variation (CV)0.2145797205
Kurtosis1.48600411
Mean1618.340106
Median Absolute Deviation (MAD)187.315322
Skewness-1.416133306
Sum168307.371
Variance120591.5686
MonotonicityNot monotonic
2025-11-14T18:33:03.606483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1925.24682918
 
17.3%
1868.6448085
 
4.8%
1945.9323711
 
1.0%
1594.1541111
 
1.0%
1859.9608571
 
1.0%
1826.8040451
 
1.0%
1128.227781
 
1.0%
1599.7881071
 
1.0%
1833.538411
 
1.0%
1590.4612061
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
508.16337981
1.0%
626.73271791
1.0%
643.90080431
1.0%
662.64047391
1.0%
763.805831
1.0%
ValueCountFrequency (%)
1981.5207091
 
1.0%
1945.9323711
 
1.0%
1931.9254641
 
1.0%
1926.1207511
 
1.0%
1925.24682918
17.3%

pressure_var19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean167249.499
Minimum46837.96082
Maximum304247.9835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:03.699925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum46837.96082
5-th percentile98712.68737
Q1111108.4124
median166125.7663
Q3210753.1118
95-th percentile272538.8147
Maximum304247.9835
Range257410.0227
Interquartile range (IQR)99644.69945

Descriptive statistics

Standard deviation58991.57755
Coefficient of variation (CV)0.3527160195
Kurtosis-0.6346158912
Mean167249.499
Median Absolute Deviation (MAD)45326.18685
Skewness0.3066909031
Sum17393947.9
Variance3480006222
MonotonicityNot monotonic
2025-11-14T18:33:03.792912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98712.6873718
 
17.3%
166125.76635
 
4.8%
102953.60331
 
1.0%
209770.34761
 
1.0%
184102.85591
 
1.0%
170823.78091
 
1.0%
135207.47761
 
1.0%
211532.68071
 
1.0%
170200.74051
 
1.0%
270924.311
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
46837.960821
1.0%
62586.376691
1.0%
74989.137251
1.0%
86733.355311
1.0%
89457.001521
1.0%
ValueCountFrequency (%)
304247.98351
1.0%
304178.62311
1.0%
289835.80551
1.0%
281959.64421
1.0%
274216.54351
1.0%

total_time19
Real number (ℝ)

Distinct83
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean523006.7308
Minimum6760
Maximum9206165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:03.881497image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum6760
5-th percentile33347.5
Q159497.5
median65862.5
Q393407.5
95-th percentile382866
Maximum9206165
Range9199405
Interquartile range (IQR)33910

Descriptive statistics

Standard deviation1961865.816
Coefficient of variation (CV)3.751129193
Kurtosis16.65886364
Mean523006.7308
Median Absolute Deviation (MAD)15987.5
Skewness4.279772093
Sum54392700
Variance3.848917481 × 1012
MonotonicityNot monotonic
2025-11-14T18:33:03.957986image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6195018
 
17.3%
92061655
 
4.8%
309801
 
1.0%
1753751
 
1.0%
490151
 
1.0%
3720201
 
1.0%
733701
 
1.0%
646851
 
1.0%
599101
 
1.0%
2893251
 
1.0%
Other values (73)73
70.2%
ValueCountFrequency (%)
67601
1.0%
95251
1.0%
277951
1.0%
309801
1.0%
318001
1.0%
ValueCountFrequency (%)
92061655
4.8%
3847801
 
1.0%
3720201
 
1.0%
3500251
 
1.0%
2893251
 
1.0%

air_time20
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10892.06731
Minimum1325
Maximum313925
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:04.041346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1325
5-th percentile2000.75
Q12931.25
median4440
Q39205
95-th percentile26031.25
Maximum313925
Range312600
Interquartile range (IQR)6273.75

Descriptive statistics

Standard deviation31445.36446
Coefficient of variation (CV)2.886996891
Kurtosis85.75006951
Mean10892.06731
Median Absolute Deviation (MAD)2040
Skewness8.913423558
Sum1132775
Variance988810945.9
MonotonicityNot monotonic
2025-11-14T18:33:04.311180image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20058
 
7.7%
36252
 
1.9%
38252
 
1.9%
87801
 
1.0%
40101
 
1.0%
20001
 
1.0%
126201
 
1.0%
38501
 
1.0%
28201
 
1.0%
49801
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
13251
1.0%
16351
1.0%
17801
1.0%
18301
1.0%
19851
1.0%
ValueCountFrequency (%)
3139251
1.0%
586101
1.0%
434751
1.0%
395601
1.0%
376601
1.0%

disp_index20
Real number (ℝ)

Distinct62
Distinct (%)59.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.587307692 × 10-5
Minimum5.96 × 10-6
Maximum5.1 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:04.394285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5.96 × 10-6
5-th percentile1.12 × 10-5
Q11.315 × 10-5
median1.5 × 10-5
Q31.7175 × 10-5
95-th percentile2.199 × 10-5
Maximum5.1 × 10-5
Range4.504 × 10-5
Interquartile range (IQR)4.025 × 10-6

Descriptive statistics

Standard deviation5.177651579 × 10-6
Coefficient of variation (CV)0.3261907949
Kurtosis20.59142408
Mean1.587307692 × 10-5
Median Absolute Deviation (MAD)2 × 10-6
Skewness3.483078193
Sum0.0016508
Variance2.680807588 × 10-11
MonotonicityNot monotonic
2025-11-14T18:33:04.476950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.6 × 10-510
 
9.6%
1.46 × 10-56
 
5.8%
1.12 × 10-54
 
3.8%
1.64 × 10-54
 
3.8%
1.32 × 10-53
 
2.9%
1.48 × 10-53
 
2.9%
1.15 × 10-53
 
2.9%
1.37 × 10-52
 
1.9%
1.25 × 10-52
 
1.9%
1.82 × 10-52
 
1.9%
Other values (52)65
62.5%
ValueCountFrequency (%)
5.96 × 10-61
 
1.0%
7.34 × 10-61
 
1.0%
1.01 × 10-51
 
1.0%
1.11 × 10-51
 
1.0%
1.12 × 10-54
3.8%
ValueCountFrequency (%)
5.1 × 10-51
1.0%
3.08 × 10-51
1.0%
2.87 × 10-51
1.0%
2.8 × 10-51
1.0%
2.43 × 10-51
1.0%

gmrt_in_air20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.5432256
Minimum55.11722265
Maximum399.2586448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:04.565608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum55.11722265
5-th percentile92.12875082
Q1133.4766912
median180.6439664
Q3243.4711585
95-th percentile399.2586448
Maximum399.2586448
Range344.1414222
Interquartile range (IQR)109.9944673

Descriptive statistics

Standard deviation86.25687697
Coefficient of variation (CV)0.4388697535
Kurtosis0.2398782369
Mean196.5432256
Median Absolute Deviation (MAD)53.95798505
Skewness0.9087475051
Sum20440.49546
Variance7440.248825
MonotonicityNot monotonic
2025-11-14T18:33:04.653362image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
399.25864488
 
7.7%
160.46710551
 
1.0%
185.60924871
 
1.0%
154.10833321
 
1.0%
246.27251741
 
1.0%
66.764487561
 
1.0%
133.50281931
 
1.0%
187.5848691
 
1.0%
180.55568781
 
1.0%
124.65955671
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
55.117222651
1.0%
66.764487561
1.0%
74.542033281
1.0%
80.953835171
1.0%
87.527014981
1.0%
ValueCountFrequency (%)
399.25864488
7.7%
333.33210251
 
1.0%
331.55258191
 
1.0%
330.20239551
 
1.0%
315.43583991
 
1.0%

gmrt_on_paper20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.9166069
Minimum49.50664934
Maximum322.9678202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:04.760302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum49.50664934
5-th percentile87.49360326
Q1124.0598528
median165.2983573
Q3189.0316488
95-th percentile241.7290131
Maximum322.9678202
Range273.4611709
Interquartile range (IQR)64.97179595

Descriptive statistics

Standard deviation49.69489723
Coefficient of variation (CV)0.3050327292
Kurtosis0.8591017203
Mean162.9166069
Median Absolute Deviation (MAD)30.7741217
Skewness0.4589384493
Sum16943.32712
Variance2469.582811
MonotonicityNot monotonic
2025-11-14T18:33:04.854270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
166.24017488
 
7.7%
120.01492581
 
1.0%
63.174810941
 
1.0%
179.40060071
 
1.0%
319.59476961
 
1.0%
49.506649341
 
1.0%
130.44928211
 
1.0%
120.68074881
 
1.0%
177.50102381
 
1.0%
148.05237881
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
49.506649341
1.0%
63.174810941
1.0%
73.140564051
1.0%
78.984181031
1.0%
86.368378341
1.0%
ValueCountFrequency (%)
322.96782021
1.0%
319.59476961
1.0%
256.84708841
1.0%
254.37201421
1.0%
253.52067741
1.0%

max_x_extension20
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1830.394231
Minimum647
Maximum13154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:04.942524image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum647
5-th percentile1130.15
Q11427
median1573
Q31947
95-th percentile2610.25
Maximum13154
Range12507
Interquartile range (IQR)520

Descriptive statistics

Standard deviation1263.508303
Coefficient of variation (CV)0.6902929881
Kurtosis64.03426145
Mean1830.394231
Median Absolute Deviation (MAD)225.5
Skewness7.367346281
Sum190361
Variance1596453.231
MonotonicityNot monotonic
2025-11-14T18:33:05.029649image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15658
 
7.7%
11842
 
1.9%
15072
 
1.9%
22581
 
1.0%
131541
 
1.0%
21191
 
1.0%
11311
 
1.0%
9121
 
1.0%
10451
 
1.0%
17451
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
6471
1.0%
9121
1.0%
10331
1.0%
10451
1.0%
10681
1.0%
ValueCountFrequency (%)
131541
1.0%
53151
1.0%
40391
1.0%
31481
1.0%
27551
1.0%

max_y_extension20
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12379.82692
Minimum4908
Maximum17547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:05.122889image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4908
5-th percentile8911.95
Q110943.75
median12433
Q314070.25
95-th percentile15768.9
Maximum17547
Range12639
Interquartile range (IQR)3126.5

Descriptive statistics

Standard deviation2376.963133
Coefficient of variation (CV)0.1920029374
Kurtosis0.472452265
Mean12379.82692
Median Absolute Deviation (MAD)1565.5
Skewness-0.3900364081
Sum1287502
Variance5649953.737
MonotonicityNot monotonic
2025-11-14T18:33:05.216773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
151998
 
7.7%
112252
 
1.9%
108531
 
1.0%
116081
 
1.0%
160241
 
1.0%
113201
 
1.0%
51331
 
1.0%
86861
 
1.0%
108311
 
1.0%
124301
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
49081
1.0%
51331
1.0%
79501
1.0%
83901
1.0%
86861
1.0%
ValueCountFrequency (%)
175471
1.0%
170351
1.0%
169631
1.0%
169371
1.0%
160241
1.0%

mean_acc_in_air20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2974111415
Minimum0.144951251
Maximum1.406808251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:05.300448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.144951251
5-th percentile0.1747674956
Q10.2053908642
median0.246064065
Q30.307447794
95-th percentile0.591614734
Maximum1.406808251
Range1.261857
Interquartile range (IQR)0.1020569297

Descriptive statistics

Standard deviation0.182755199
Coefficient of variation (CV)0.6144867274
Kurtosis17.12178018
Mean0.2974111415
Median Absolute Deviation (MAD)0.0472978515
Skewness3.751756963
Sum30.93075871
Variance0.03339946277
MonotonicityNot monotonic
2025-11-14T18:33:05.398075image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2428236618
 
7.7%
0.2473272621
 
1.0%
0.6071589871
 
1.0%
0.2522741431
 
1.0%
0.2503524881
 
1.0%
0.2109412781
 
1.0%
0.1910468081
 
1.0%
0.2130959021
 
1.0%
0.228747091
 
1.0%
0.2025691921
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
0.1449512511
1.0%
0.1486851951
1.0%
0.1644978931
1.0%
0.1647396351
1.0%
0.1709932621
1.0%
ValueCountFrequency (%)
1.4068082511
1.0%
1.1252448961
1.0%
0.8202637811
1.0%
0.8114914191
1.0%
0.7520529981
1.0%

mean_acc_on_paper20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1593352499
Minimum0.110850917
Maximum0.269551649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:05.492176image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.110850917
5-th percentile0.1281806783
Q10.141938328
median0.154026194
Q30.171872861
95-th percentile0.211382313
Maximum0.269551649
Range0.158700732
Interquartile range (IQR)0.029934533

Descriptive statistics

Standard deviation0.02726509473
Coefficient of variation (CV)0.171117783
Kurtosis3.155137987
Mean0.1593352499
Median Absolute Deviation (MAD)0.0152013345
Skewness1.357987917
Sum16.57086599
Variance0.0007433853904
MonotonicityNot monotonic
2025-11-14T18:33:05.575786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1482561318
 
7.7%
0.1791657271
 
1.0%
0.169435641
 
1.0%
0.1498203381
 
1.0%
0.2695516491
 
1.0%
0.1557142511
 
1.0%
0.1453890921
 
1.0%
0.1572300381
 
1.0%
0.1829768391
 
1.0%
0.143865841
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
0.1108509171
1.0%
0.1149959531
1.0%
0.1157189091
1.0%
0.1188370931
1.0%
0.1202194121
1.0%
ValueCountFrequency (%)
0.2695516491
1.0%
0.2586081061
1.0%
0.2249819641
1.0%
0.2140038861
1.0%
0.2124269531
1.0%

mean_gmrt20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.7299163
Minimum58.13556845
Maximum289.9948153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:05.659653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum58.13556845
5-th percentile97.17001709
Q1131.7939513
median171.9870121
Q3222.1165404
95-th percentile282.7494098
Maximum289.9948153
Range231.8592469
Interquartile range (IQR)90.32258907

Descriptive statistics

Standard deviation58.65005781
Coefficient of variation (CV)0.3263232912
Kurtosis-0.8255134501
Mean179.7299163
Median Absolute Deviation (MAD)43.52246465
Skewness0.247629207
Sum18691.91129
Variance3439.829281
MonotonicityNot monotonic
2025-11-14T18:33:05.756421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
282.74940988
 
7.7%
140.24101561
 
1.0%
124.39202981
 
1.0%
166.75446691
 
1.0%
282.93364351
 
1.0%
58.135568451
 
1.0%
131.97605071
 
1.0%
154.13280891
 
1.0%
179.02835581
 
1.0%
136.35596781
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
58.135568451
1.0%
74.759983561
1.0%
86.874114871
1.0%
87.203003121
1.0%
93.203122571
1.0%
ValueCountFrequency (%)
289.99481531
 
1.0%
282.93364351
 
1.0%
282.74940988
7.7%
272.83949281
 
1.0%
269.59864881
 
1.0%

mean_jerk_in_air20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04587345535
Minimum0.018173538
Maximum0.264611622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:05.840974image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.018173538
5-th percentile0.0226268054
Q10.0286540875
median0.036353758
Q30.0481043725
95-th percentile0.0991273169
Maximum0.264611622
Range0.246438084
Interquartile range (IQR)0.019450285

Descriptive statistics

Standard deviation0.03577242368
Coefficient of variation (CV)0.7798066094
Kurtosis17.85931529
Mean0.04587345535
Median Absolute Deviation (MAD)0.0097142695
Skewness3.857591224
Sum4.770839356
Variance0.001279666296
MonotonicityNot monotonic
2025-11-14T18:33:05.929379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.036560288
 
7.7%
0.031775661
 
1.0%
0.1014605331
 
1.0%
0.0349382451
 
1.0%
0.0359148141
 
1.0%
0.0340302971
 
1.0%
0.0240892441
 
1.0%
0.0326215721
 
1.0%
0.0287548831
 
1.0%
0.0259104911
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
0.0181735381
1.0%
0.0200952821
1.0%
0.0205926351
1.0%
0.0211157091
1.0%
0.021938581
1.0%
ValueCountFrequency (%)
0.2646116221
1.0%
0.2101230921
1.0%
0.1538405951
1.0%
0.1479305811
1.0%
0.1295689931
1.0%

mean_jerk_on_paper20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01952361013
Minimum0.014566782
Maximum0.028166746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:06.014550image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.014566782
5-th percentile0.0157367712
Q10.01772191075
median0.019121105
Q30.02104096
95-th percentile0.024176207
Maximum0.028166746
Range0.013599964
Interquartile range (IQR)0.00331904925

Descriptive statistics

Standard deviation0.002609247303
Coefficient of variation (CV)0.133645739
Kurtosis0.6217730783
Mean0.01952361013
Median Absolute Deviation (MAD)0.001529057
Skewness0.7492205511
Sum2.030455454
Variance6.808171491 × 10-6
MonotonicityNot monotonic
2025-11-14T18:33:06.109264image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0195804788
 
7.7%
0.0224687981
 
1.0%
0.0176270771
 
1.0%
0.0196811221
 
1.0%
0.0281667461
 
1.0%
0.0163078171
 
1.0%
0.0189524891
 
1.0%
0.0193683391
 
1.0%
0.0210167491
 
1.0%
0.0197807641
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
0.0145667821
1.0%
0.0149287891
1.0%
0.0150097541
1.0%
0.0156902291
1.0%
0.0157238931
1.0%
ValueCountFrequency (%)
0.0281667461
1.0%
0.0261807731
1.0%
0.0254520191
1.0%
0.0252243411
1.0%
0.0250984961
1.0%

mean_speed_in_air20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.344400145
Minimum1.071479848
Maximum6.800268753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:06.211585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.071479848
5-th percentile1.62701297
Q12.435948706
median3.207815431
Q34.097205045
95-th percentile5.102913604
Maximum6.800268753
Range5.728788905
Interquartile range (IQR)1.661256339

Descriptive statistics

Standard deviation1.210719114
Coefficient of variation (CV)0.3620138326
Kurtosis-0.5082478324
Mean3.344400145
Median Absolute Deviation (MAD)0.855459177
Skewness0.3903287028
Sum347.8176151
Variance1.465840774
MonotonicityNot monotonic
2025-11-14T18:33:06.289685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.0770004668
 
7.7%
3.106662031
 
1.0%
3.2511133761
 
1.0%
2.7880111891
 
1.0%
4.0725078451
 
1.0%
1.127693351
 
1.0%
2.4174549981
 
1.0%
3.383483281
 
1.0%
3.4018338451
 
1.0%
2.6521859011
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
1.0714798481
1.0%
1.127693351
1.0%
1.2636224481
1.0%
1.43750931
1.0%
1.5978567261
1.0%
ValueCountFrequency (%)
6.8002687531
1.0%
5.7613836141
1.0%
5.5756272541
1.0%
5.4542555671
1.0%
5.3430392751
1.0%

mean_speed_on_paper20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.958580044
Minimum0.874052412
Maximum6.322301633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:06.556589image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.874052412
5-th percentile1.511230366
Q12.173544154
median2.967629508
Q33.458852233
95-th percentile4.445303577
Maximum6.322301633
Range5.448249221
Interquartile range (IQR)1.285308079

Descriptive statistics

Standard deviation1.013523908
Coefficient of variation (CV)0.3425710623
Kurtosis1.058451176
Mean2.958580044
Median Absolute Deviation (MAD)0.6521818645
Skewness0.6235264377
Sum307.6923246
Variance1.027230713
MonotonicityNot monotonic
2025-11-14T18:33:06.641557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.242617578
 
7.7%
2.064867351
 
1.0%
0.9999477691
 
1.0%
3.1256327821
 
1.0%
6.3223016331
 
1.0%
0.8740524121
 
1.0%
2.3299451421
 
1.0%
1.9651473911
 
1.0%
3.1477511321
 
1.0%
2.5611236791
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
0.8740524121
1.0%
0.9999477691
1.0%
1.2986949341
1.0%
1.3766545261
1.0%
1.4801535761
1.0%
ValueCountFrequency (%)
6.3223016331
1.0%
6.3167114911
1.0%
5.1556309711
1.0%
5.0511168841
1.0%
4.4871090831
1.0%

num_of_pendown20
Real number (ℝ)

Distinct28
Distinct (%)26.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.20192308
Minimum5
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:06.713413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q112
median16
Q321
95-th percentile30.85
Maximum38
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.114022537
Coefficient of variation (CV)0.4135597227
Kurtosis0.3299666323
Mean17.20192308
Median Absolute Deviation (MAD)5
Skewness0.8842434853
Sum1789
Variance50.60931665
MonotonicityNot monotonic
2025-11-14T18:33:06.783842image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1612
 
11.5%
912
 
11.5%
149
 
8.7%
158
 
7.7%
127
 
6.7%
216
 
5.8%
105
 
4.8%
174
 
3.8%
114
 
3.8%
223
 
2.9%
Other values (18)34
32.7%
ValueCountFrequency (%)
51
 
1.0%
61
 
1.0%
912
11.5%
105
4.8%
114
 
3.8%
ValueCountFrequency (%)
382
1.9%
331
1.0%
322
1.9%
311
1.0%
302
1.9%

paper_time20
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10090.24038
Minimum3560
Maximum64415
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:06.866671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3560
5-th percentile5595.25
Q17378.75
median8035
Q310442.5
95-th percentile17738.5
Maximum64415
Range60855
Interquartile range (IQR)3063.75

Descriptive statistics

Standard deviation6871.323214
Coefficient of variation (CV)0.6809870679
Kurtosis38.30584395
Mean10090.24038
Median Absolute Deviation (MAD)1357.5
Skewness5.318449912
Sum1049385
Variance47215082.71
MonotonicityNot monotonic
2025-11-14T18:33:06.977261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80358
 
7.7%
74002
 
1.9%
77652
 
1.9%
144501
 
1.0%
644151
 
1.0%
53951
 
1.0%
142401
 
1.0%
75351
 
1.0%
95151
 
1.0%
74401
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
35601
1.0%
36651
1.0%
53451
1.0%
53951
1.0%
55751
1.0%
ValueCountFrequency (%)
644151
1.0%
288751
1.0%
270851
1.0%
210151
1.0%
195301
1.0%

pressure_mean20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1646.308381
Minimum574.8741809
Maximum1990.808339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:07.063415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum574.8741809
5-th percentile963.2231343
Q11515.580169
median1748.21649
Q31896.449884
95-th percentile1990.808339
Maximum1990.808339
Range1415.934158
Interquartile range (IQR)380.8697153

Descriptive statistics

Standard deviation334.2768957
Coefficient of variation (CV)0.2030463427
Kurtosis1.179241101
Mean1646.308381
Median Absolute Deviation (MAD)173.147595
Skewness-1.312775243
Sum171216.0717
Variance111741.043
MonotonicityNot monotonic
2025-11-14T18:33:07.151690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1990.8083398
 
7.7%
1294.0986161
 
1.0%
1749.315921
 
1.0%
1801.7186231
 
1.0%
1974.8461541
 
1.0%
1093.6597611
 
1.0%
1906.3888521
 
1.0%
1900.7385711
 
1.0%
1845.5659491
 
1.0%
1518.3884411
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
574.87418091
1.0%
595.17324711
1.0%
815.67734421
1.0%
833.11097991
1.0%
894.73957621
1.0%
ValueCountFrequency (%)
1990.8083398
7.7%
1974.8461541
 
1.0%
1964.3662071
 
1.0%
1962.2739731
 
1.0%
1961.2602611
 
1.0%

pressure_var20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152497.7114
Minimum46320.30321
Maximum420932.3828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:07.240833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum46320.30321
5-th percentile57308.10266
Q198726.05673
median148710.2223
Q3184813.3054
95-th percentile270601.465
Maximum420932.3828
Range374612.0796
Interquartile range (IQR)86087.24872

Descriptive statistics

Standard deviation69319.62365
Coefficient of variation (CV)0.454561731
Kurtosis1.382520613
Mean152497.7114
Median Absolute Deviation (MAD)48187.22825
Skewness0.8762457742
Sum15859761.98
Variance4805210223
MonotonicityNot monotonic
2025-11-14T18:33:07.339934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57308.102668
 
7.7%
169057.37951
 
1.0%
253698.25481
 
1.0%
191071.42411
 
1.0%
46559.208951
 
1.0%
182726.69571
 
1.0%
130058.55091
 
1.0%
107163.36891
 
1.0%
169084.77531
 
1.0%
264471.79671
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
46320.303211
 
1.0%
46559.208951
 
1.0%
47571.921261
 
1.0%
57308.102668
7.7%
70209.420521
 
1.0%
ValueCountFrequency (%)
420932.38281
1.0%
344156.09221
1.0%
292988.55641
1.0%
280331.28611
1.0%
274227.92561
1.0%

total_time20
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20982.30769
Minimum5545
Maximum327820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:07.423066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5545
5-th percentile7994
Q110163.75
median12415
Q320121.25
95-th percentile49788.25
Maximum327820
Range322275
Interquartile range (IQR)9957.5

Descriptive statistics

Standard deviation33973.74137
Coefficient of variation (CV)1.619161336
Kurtosis65.96897674
Mean20982.30769
Median Absolute Deviation (MAD)2805
Skewness7.536370622
Sum2182160
Variance1154215102
MonotonicityNot monotonic
2025-11-14T18:33:07.525816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100408
 
7.7%
232301
 
1.0%
1078901
 
1.0%
247151
 
1.0%
73951
 
1.0%
268601
 
1.0%
113851
 
1.0%
105851
 
1.0%
144951
 
1.0%
119201
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
55451
1.0%
72901
1.0%
73951
1.0%
76951
1.0%
78551
1.0%
ValueCountFrequency (%)
3278201
1.0%
1078901
1.0%
781401
1.0%
647451
1.0%
573001
1.0%

air_time21
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12308.5
Minimum395
Maximum67430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:07.614459image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum395
5-th percentile1215.25
Q12126.25
median6960
Q319178.75
95-th percentile35592.75
Maximum67430
Range67035
Interquartile range (IQR)17052.5

Descriptive statistics

Standard deviation13797.91411
Coefficient of variation (CV)1.121006955
Kurtosis3.9400823
Mean12308.5
Median Absolute Deviation (MAD)5135
Skewness1.877320622
Sum1280084
Variance190382433.7
MonotonicityNot monotonic
2025-11-14T18:33:07.706925image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18258
 
7.7%
42252
 
1.9%
12452
 
1.9%
207351
 
1.0%
12801
 
1.0%
236251
 
1.0%
144001
 
1.0%
256551
 
1.0%
12551
 
1.0%
243201
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
3951
1.0%
4801
1.0%
6151
1.0%
7601
1.0%
11351
1.0%
ValueCountFrequency (%)
674301
1.0%
621251
1.0%
588401
1.0%
510801
1.0%
359451
1.0%

disp_index21
Real number (ℝ)

Distinct86
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.809432692 × 10-5
Minimum9.91 × 10-6
Maximum8.04 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:07.792706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9.91 × 10-6
5-th percentile2.3935 × 10-5
Q14.07 × 10-5
median4.935 × 10-5
Q35.7325 × 10-5
95-th percentile6.6585 × 10-5
Maximum8.04 × 10-5
Range7.049 × 10-5
Interquartile range (IQR)1.6625 × 10-5

Descriptive statistics

Standard deviation1.353482124 × 10-5
Coefficient of variation (CV)0.2814224068
Kurtosis0.4856592586
Mean4.809432692 × 10-5
Median Absolute Deviation (MAD)8.4 × 10-6
Skewness-0.6046075741
Sum0.00500181
Variance1.83191386 × 10-10
MonotonicityNot monotonic
2025-11-14T18:33:07.890939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.65 × 10-59
 
8.7%
4.07 × 10-52
 
1.9%
3.07 × 10-52
 
1.9%
5.06 × 10-52
 
1.9%
4.33 × 10-52
 
1.9%
6.47 × 10-52
 
1.9%
6.65 × 10-52
 
1.9%
5.34 × 10-52
 
1.9%
4.97 × 10-52
 
1.9%
4.43 × 10-52
 
1.9%
Other values (76)77
74.0%
ValueCountFrequency (%)
9.91 × 10-61
1.0%
1.2 × 10-51
1.0%
1.37 × 10-51
1.0%
1.52 × 10-51
1.0%
2.05 × 10-51
1.0%
ValueCountFrequency (%)
8.04 × 10-51
1.0%
7.28 × 10-51
1.0%
7.03 × 10-51
1.0%
6.9 × 10-51
1.0%
6.89 × 10-51
1.0%

gmrt_in_air21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean437.5776595
Minimum122.9973081
Maximum1486.978988
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:07.975153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum122.9973081
5-th percentile165.235025
Q1253.4895072
median335.627845
Q3535.1957472
95-th percentile909.1291073
Maximum1486.978988
Range1363.98168
Interquartile range (IQR)281.7062401

Descriptive statistics

Standard deviation270.4272445
Coefficient of variation (CV)0.6180097147
Kurtosis2.085235508
Mean437.5776595
Median Absolute Deviation (MAD)111.4685596
Skewness1.484592553
Sum45508.07659
Variance73130.89457
MonotonicityNot monotonic
2025-11-14T18:33:08.063676image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
820.81232178
 
7.7%
305.36799882
 
1.9%
290.80036141
 
1.0%
275.19778031
 
1.0%
793.67305751
 
1.0%
248.40155421
 
1.0%
335.77788131
 
1.0%
288.61554791
 
1.0%
477.19912761
 
1.0%
299.35991071
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
122.99730811
1.0%
137.4734291
1.0%
150.0613321
1.0%
150.65113441
1.0%
162.91904871
1.0%
ValueCountFrequency (%)
1486.9789881
1.0%
1310.9488541
1.0%
1089.9952941
1.0%
1041.7479791
1.0%
1029.4322541
1.0%

gmrt_on_paper21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.5751034
Minimum31.86556936
Maximum297.5924055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:08.156474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum31.86556936
5-th percentile51.10236384
Q169.05226092
median95.04408614
Q3113.3127678
95-th percentile191.293015
Maximum297.5924055
Range265.7268361
Interquartile range (IQR)44.26050683

Descriptive statistics

Standard deviation47.48147476
Coefficient of variation (CV)0.4584255597
Kurtosis2.534978816
Mean103.5751034
Median Absolute Deviation (MAD)23.82792767
Skewness1.43872384
Sum10771.81076
Variance2254.490445
MonotonicityNot monotonic
2025-11-14T18:33:08.247467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.86099488
 
7.7%
105.80245782
 
1.9%
62.267877611
 
1.0%
65.861638961
 
1.0%
191.05770241
 
1.0%
54.567804271
 
1.0%
75.153573511
 
1.0%
79.418484951
 
1.0%
94.584367611
 
1.0%
66.369825311
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
31.865569361
1.0%
41.700167881
1.0%
42.927701851
1.0%
49.632168361
1.0%
50.275505821
1.0%
ValueCountFrequency (%)
297.59240551
1.0%
242.14705431
1.0%
225.42296121
1.0%
218.86464121
1.0%
199.66956341
1.0%

max_x_extension21
Real number (ℝ)

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8890.519231
Minimum1494
Maximum11289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:08.330731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1494
5-th percentile4628.45
Q18906.75
median9444.5
Q39619.25
95-th percentile10245.05
Maximum11289
Range9795
Interquartile range (IQR)712.5

Descriptive statistics

Standard deviation1743.214551
Coefficient of variation (CV)0.1960756741
Kurtosis6.476555508
Mean8890.519231
Median Absolute Deviation (MAD)266.5
Skewness-2.561524017
Sum924614
Variance3038796.971
MonotonicityNot monotonic
2025-11-14T18:33:08.420640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88958
 
7.7%
97752
 
1.9%
94872
 
1.9%
104702
 
1.9%
93681
 
1.0%
87631
 
1.0%
55491
 
1.0%
95281
 
1.0%
96151
 
1.0%
96581
 
1.0%
Other values (84)84
80.8%
ValueCountFrequency (%)
14941
1.0%
21271
1.0%
29231
1.0%
35391
1.0%
42441
1.0%
ValueCountFrequency (%)
112891
1.0%
106181
1.0%
104702
1.9%
103891
1.0%
102741
1.0%

max_y_extension21
Real number (ℝ)

Distinct92
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14960.06731
Minimum3240
Maximum18460
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:08.673712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3240
5-th percentile8230.25
Q115296.5
median15682
Q316099
95-th percentile16853.5
Maximum18460
Range15220
Interquartile range (IQR)802.5

Descriptive statistics

Standard deviation2666.002303
Coefficient of variation (CV)0.1782079083
Kurtosis7.737343044
Mean14960.06731
Median Absolute Deviation (MAD)412.5
Skewness-2.717498522
Sum1555847
Variance7107568.277
MonotonicityNot monotonic
2025-11-14T18:33:08.760946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168028
 
7.7%
168892
 
1.9%
158882
 
1.9%
162112
 
1.9%
155752
 
1.9%
160942
 
1.9%
154231
 
1.0%
120831
 
1.0%
153971
 
1.0%
157151
 
1.0%
Other values (82)82
78.8%
ValueCountFrequency (%)
32401
1.0%
33371
1.0%
69001
1.0%
69451
1.0%
80201
1.0%
ValueCountFrequency (%)
184601
1.0%
177141
1.0%
170151
1.0%
168892
1.9%
168611
1.0%

mean_acc_in_air21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7644438028
Minimum0.1436042
Maximum3.12223593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:08.852383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.1436042
5-th percentile0.1758874378
Q10.3392844917
median0.5192192665
Q30.7183809775
95-th percentile2.916306226
Maximum3.12223593
Range2.97863173
Interquartile range (IQR)0.3790964858

Descriptive statistics

Standard deviation0.754514106
Coefficient of variation (CV)0.9870105601
Kurtosis3.647332453
Mean0.7644438028
Median Absolute Deviation (MAD)0.182801609
Skewness2.166147288
Sum79.50215549
Variance0.5692915361
MonotonicityNot monotonic
2025-11-14T18:33:08.950500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9163062268
 
7.7%
0.5709333042
 
1.9%
0.4620940911
 
1.0%
0.6786097031
 
1.0%
0.468180211
 
1.0%
0.5813926771
 
1.0%
0.7883663561
 
1.0%
0.6860187231
 
1.0%
0.1698901131
 
1.0%
0.4686496321
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.14360421
1.0%
0.1646490111
1.0%
0.1676833821
1.0%
0.1698901131
1.0%
0.1724068381
1.0%
ValueCountFrequency (%)
3.122235931
 
1.0%
2.9163062268
7.7%
2.249404531
 
1.0%
1.9021298521
 
1.0%
1.5329342341
 
1.0%

mean_acc_on_paper21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1245596377
Minimum0.060407365
Maximum0.202928465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:09.039591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.060407365
5-th percentile0.06436510835
Q10.100130975
median0.1187632085
Q30.153843135
95-th percentile0.1929819114
Maximum0.202928465
Range0.1425211
Interquartile range (IQR)0.05371216

Descriptive statistics

Standard deviation0.03864701706
Coefficient of variation (CV)0.3102691832
Kurtosis-0.8608803957
Mean0.1245596377
Median Absolute Deviation (MAD)0.029245582
Skewness0.2321172898
Sum12.95420232
Variance0.001493591927
MonotonicityNot monotonic
2025-11-14T18:33:09.150240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1092636968
 
7.7%
0.1013075562
 
1.9%
0.1275027221
 
1.0%
0.1734927051
 
1.0%
0.0818498731
 
1.0%
0.1733133391
 
1.0%
0.114332661
 
1.0%
0.1658939371
 
1.0%
0.1055493771
 
1.0%
0.1587363291
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0604073651
1.0%
0.0605469041
1.0%
0.0620127531
1.0%
0.0626411591
1.0%
0.0639327091
1.0%
ValueCountFrequency (%)
0.2029284651
1.0%
0.1984605711
1.0%
0.197815951
1.0%
0.195488881
1.0%
0.1935347251
1.0%

mean_gmrt21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.5763815
Minimum90.20056541
Maximum799.8230305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:09.243690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum90.20056541
5-th percentile119.1290982
Q1171.2951146
median213.1229215
Q3322.3213083
95-th percentile536.4130328
Maximum799.8230305
Range709.6224651
Interquartile range (IQR)151.0261937

Descriptive statistics

Standard deviation147.617067
Coefficient of variation (CV)0.5455652346
Kurtosis1.562533032
Mean270.5763815
Median Absolute Deviation (MAD)61.90702135
Skewness1.377374197
Sum28139.94367
Variance21790.79848
MonotonicityNot monotonic
2025-11-14T18:33:09.340792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
465.83665838
 
7.7%
205.58522832
 
1.9%
176.53411951
 
1.0%
170.52970961
 
1.0%
492.365381
 
1.0%
151.48467921
 
1.0%
205.46572741
 
1.0%
184.01701641
 
1.0%
285.89174761
 
1.0%
182.8648681
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
90.200565411
1.0%
103.94785371
1.0%
109.99858231
1.0%
111.1201871
1.0%
113.74434681
1.0%
ValueCountFrequency (%)
799.82303051
1.0%
748.7234221
1.0%
633.585471
1.0%
624.4009881
1.0%
584.51271421
1.0%

mean_jerk_in_air21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1373172085
Minimum0.018563373
Maximum0.611874074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:09.434685image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.018563373
5-th percentile0.02190046285
Q10.05336772525
median0.087925284
Q30.1291816827
95-th percentile0.57418621
Maximum0.611874074
Range0.593310701
Interquartile range (IQR)0.0758139575

Descriptive statistics

Standard deviation0.1526514401
Coefficient of variation (CV)1.111670138
Kurtosis3.688544897
Mean0.1373172085
Median Absolute Deviation (MAD)0.035625487
Skewness2.180112782
Sum14.28098969
Variance0.02330246216
MonotonicityNot monotonic
2025-11-14T18:33:09.528502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.574186218
 
7.7%
0.0983938012
 
1.9%
0.0776401541
 
1.0%
0.1188489261
 
1.0%
0.0814102611
 
1.0%
0.1000243721
 
1.0%
0.1375068251
 
1.0%
0.1207581681
 
1.0%
0.0225027041
 
1.0%
0.0755992511
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0185633731
1.0%
0.0197628871
1.0%
0.0211839951
1.0%
0.021470381
1.0%
0.0215807891
1.0%
ValueCountFrequency (%)
0.6118740741
 
1.0%
0.574186218
7.7%
0.4320070491
 
1.0%
0.3659192041
 
1.0%
0.2991852181
 
1.0%

mean_jerk_on_paper21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01266048265
Minimum0.008274048
Maximum0.018932389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:09.611934image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.008274048
5-th percentile0.00928576405
Q10.0112556585
median0.012536456
Q30.01437452475
95-th percentile0.01662691635
Maximum0.018932389
Range0.010658341
Interquartile range (IQR)0.00311886625

Descriptive statistics

Standard deviation0.002374200498
Coefficient of variation (CV)0.187528435
Kurtosis-0.5334956854
Mean0.01266048265
Median Absolute Deviation (MAD)0.001633499
Skewness0.3964685316
Sum1.316690196
Variance5.636828007 × 10-6
MonotonicityNot monotonic
2025-11-14T18:33:09.706766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0115160548
 
7.7%
0.0112760692
 
1.9%
0.0127300281
 
1.0%
0.0161426661
 
1.0%
0.0117400191
 
1.0%
0.0144220771
 
1.0%
0.0121526961
 
1.0%
0.0160652981
 
1.0%
0.0117948351
 
1.0%
0.0148843461
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0082740481
1.0%
0.0089007891
1.0%
0.0091254691
1.0%
0.0091681991
1.0%
0.0092216831
1.0%
ValueCountFrequency (%)
0.0189323891
1.0%
0.0179962341
1.0%
0.0171896481
1.0%
0.0171334841
1.0%
0.0168368711
1.0%

mean_speed_in_air21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.933055828
Minimum1.01502599
Maximum10.06914576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:09.792382image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.01502599
5-th percentile1.503665469
Q12.61036915
median3.434277511
Q34.527072115
95-th percentile8.188939937
Maximum10.06914576
Range9.05411977
Interquartile range (IQR)1.916702965

Descriptive statistics

Standard deviation1.96704124
Coefficient of variation (CV)0.5001305158
Kurtosis0.841670898
Mean3.933055828
Median Absolute Deviation (MAD)0.906649366
Skewness1.17847754
Sum409.0378061
Variance3.86925124
MonotonicityNot monotonic
2025-11-14T18:33:09.873365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.1889399378
 
7.7%
3.6666516892
 
1.9%
2.9650858121
 
1.0%
3.885544541
 
1.0%
2.7579809361
 
1.0%
3.6520705641
 
1.0%
5.795418221
 
1.0%
3.9519068091
 
1.0%
1.015025991
 
1.0%
3.3043203591
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
1.015025991
1.0%
1.0490453971
1.0%
1.1105022811
1.0%
1.2852843511
1.0%
1.3590908231
1.0%
ValueCountFrequency (%)
10.069145761
 
1.0%
9.0178860611
 
1.0%
8.1889399378
7.7%
7.6735786271
 
1.0%
7.033185871
 
1.0%

mean_speed_on_paper21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.971648208
Minimum0.539634907
Maximum5.405902514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:09.956584image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.539634907
5-th percentile0.9100854724
Q11.308206504
median1.808909998
Q32.220375236
95-th percentile3.826428759
Maximum5.405902514
Range4.866267607
Interquartile range (IQR)0.9121687325

Descriptive statistics

Standard deviation0.942669673
Coefficient of variation (CV)0.4781125098
Kurtosis1.701353447
Mean1.971648208
Median Absolute Deviation (MAD)0.483058367
Skewness1.281346641
Sum205.0514136
Variance0.8886261123
MonotonicityNot monotonic
2025-11-14T18:33:10.047828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2203752368
 
7.7%
2.0800846852
 
1.9%
1.1893026571
 
1.0%
1.0456618061
 
1.0%
3.822777441
 
1.0%
0.9827450691
 
1.0%
1.5079468091
 
1.0%
1.2665680121
 
1.0%
1.8991807211
 
1.0%
1.3014824731
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.5396349071
1.0%
0.7557064941
1.0%
0.7996171031
1.0%
0.8053866161
1.0%
0.8163363271
1.0%
ValueCountFrequency (%)
5.4059025141
1.0%
4.8381039391
1.0%
4.5153194141
1.0%
3.942257841
1.0%
3.8643242591
1.0%

num_of_pendown21
Real number (ℝ)

Distinct26
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.14423077
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:10.119979image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median5
Q314
95-th percentile36.25
Maximum92
Range91
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.57998118
Coefficient of variation (CV)1.338690087
Kurtosis13.15103568
Mean10.14423077
Median Absolute Deviation (MAD)4
Skewness3.073927748
Sum1055
Variance184.4158887
MonotonicityNot monotonic
2025-11-14T18:33:10.195133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
117
16.3%
213
12.5%
311
10.6%
410
 
9.6%
76
 
5.8%
66
 
5.8%
95
 
4.8%
164
 
3.8%
154
 
3.8%
113
 
2.9%
Other values (16)25
24.0%
ValueCountFrequency (%)
117
16.3%
213
12.5%
311
10.6%
410
9.6%
53
 
2.9%
ValueCountFrequency (%)
921
1.0%
551
1.0%
441
1.0%
431
1.0%
372
1.9%

paper_time21
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38241.10577
Minimum7095
Maximum136955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:10.273431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7095
5-th percentile14250
Q124431.25
median32757.5
Q344882.5
95-th percentile82014.75
Maximum136955
Range129860
Interquartile range (IQR)20451.25

Descriptive statistics

Standard deviation21729.87618
Coefficient of variation (CV)0.5682334688
Kurtosis4.525528858
Mean38241.10577
Median Absolute Deviation (MAD)10560
Skewness1.80588194
Sum3977075
Variance472187518.9
MonotonicityNot monotonic
2025-11-14T18:33:10.361100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
291458
 
7.7%
518952
 
1.9%
331402
 
1.9%
303401
 
1.0%
402751
 
1.0%
386701
 
1.0%
167301
 
1.0%
763001
 
1.0%
435201
 
1.0%
564451
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
70951
1.0%
117451
1.0%
118151
1.0%
129401
1.0%
139001
1.0%
ValueCountFrequency (%)
1369551
1.0%
1132101
1.0%
889301
1.0%
884101
1.0%
857551
1.0%

pressure_mean21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1811.768814
Minimum641.0340031
Maximum2041.930178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:10.456555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum641.0340031
5-th percentile1153.355882
Q11750.403154
median1942.58908
Q32014.714739
95-th percentile2040.771831
Maximum2041.930178
Range1400.896175
Interquartile range (IQR)264.311585

Descriptive statistics

Standard deviation308.0212394
Coefficient of variation (CV)0.1700113376
Kurtosis3.944531107
Mean1811.768814
Median Absolute Deviation (MAD)88.21049
Skewness-2.02255147
Sum188423.9566
Variance94877.08394
MonotonicityNot monotonic
2025-11-14T18:33:10.539819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2040.7718318
 
7.7%
1988.3975562
 
1.9%
1895.8171781
 
1.0%
1975.4398761
 
1.0%
2019.1721461
 
1.0%
1333.1992141
 
1.0%
2012.8095131
 
1.0%
1902.8586231
 
1.0%
2005.2406471
 
1.0%
1853.3142881
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
641.03400311
1.0%
694.41421011
1.0%
814.39810181
1.0%
912.33118321
1.0%
1061.2425771
1.0%
ValueCountFrequency (%)
2041.9301781
 
1.0%
2040.7718318
7.7%
2035.5964751
 
1.0%
2034.7822951
 
1.0%
2034.1421161
 
1.0%

pressure_var21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87721.88825
Minimum5848.579759
Maximum325040.8775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:10.633576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5848.579759
5-th percentile8704.720627
Q129926.8363
median65197.07201
Q3128566.4941
95-th percentile227695.4742
Maximum325040.8775
Range319192.2977
Interquartile range (IQR)98639.65783

Descriptive statistics

Standard deviation72113.22249
Coefficient of variation (CV)0.8220664641
Kurtosis0.5182007842
Mean87721.88825
Median Absolute Deviation (MAD)45801.9523
Skewness1.051632621
Sum9123076.378
Variance5200316858
MonotonicityNot monotonic
2025-11-14T18:33:10.893824image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8704.7206278
 
7.7%
75569.473362
 
1.9%
149469.69831
 
1.0%
51932.212771
 
1.0%
29940.578851
 
1.0%
223124.9111
 
1.0%
42792.234391
 
1.0%
143524.84851
 
1.0%
19030.271831
 
1.0%
106677.21621
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
5848.5797591
 
1.0%
6667.0716631
 
1.0%
8704.7206278
7.7%
11900.248961
 
1.0%
13510.532381
 
1.0%
ValueCountFrequency (%)
325040.87751
1.0%
267506.56191
1.0%
263601.38541
1.0%
257826.5231
1.0%
233352.01571
1.0%

total_time21
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50549.60577
Minimum13910
Maximum195795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:10.988076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum13910
5-th percentile18043
Q130970
median41605
Q356697.5
95-th percentile114072.5
Maximum195795
Range181885
Interquartile range (IQR)25727.5

Descriptive statistics

Standard deviation32046.6494
Coefficient of variation (CV)0.6339643785
Kurtosis5.784999964
Mean50549.60577
Median Absolute Deviation (MAD)11752.5
Skewness2.13837024
Sum5257159
Variance1026987738
MonotonicityNot monotonic
2025-11-14T18:33:11.081342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
309708
 
7.7%
373652
 
1.9%
451851
 
1.0%
623051
 
1.0%
180101
 
1.0%
999251
 
1.0%
579201
 
1.0%
821001
 
1.0%
327951
 
1.0%
762151
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
139101
1.0%
150701
1.0%
154501
1.0%
157801
1.0%
173601
1.0%
ValueCountFrequency (%)
1957951
1.0%
1806401
1.0%
1332951
1.0%
1223301
1.0%
1168251
1.0%

air_time22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23125.94231
Minimum1510
Maximum1483980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:11.173663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1510
5-th percentile2015
Q12788.75
median5342.5
Q310368.75
95-th percentile28891.5
Maximum1483980
Range1482470
Interquartile range (IQR)7580

Descriptive statistics

Standard deviation144939.1095
Coefficient of variation (CV)6.26738178
Kurtosis103.1167999
Mean23125.94231
Median Absolute Deviation (MAD)3137.5
Skewness10.13422719
Sum2405098
Variance2.100734545 × 1010
MonotonicityNot monotonic
2025-11-14T18:33:11.259238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20157
 
6.7%
212101
 
1.0%
52851
 
1.0%
51351
 
1.0%
82751
 
1.0%
15101
 
1.0%
14839801
 
1.0%
50201
 
1.0%
37751
 
1.0%
186801
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
15101
1.0%
16651
1.0%
18301
1.0%
18551
1.0%
18801
1.0%
ValueCountFrequency (%)
14839801
1.0%
470301
1.0%
441751
1.0%
412701
1.0%
369201
1.0%

disp_index22
Real number (ℝ)

Distinct77
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.544230769 × 10-6
Minimum4.68 × 10-6
Maximum1.79 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:11.391055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.68 × 10-6
5-th percentile6.5575 × 10-6
Q18.02 × 10-6
median9.535 × 10-6
Q31.0625 × 10-5
95-th percentile1.337 × 10-5
Maximum1.79 × 10-5
Range1.322 × 10-5
Interquartile range (IQR)2.605 × 10-6

Descriptive statistics

Standard deviation2.162337683 × 10-6
Coefficient of variation (CV)0.2265596606
Kurtosis0
Mean9.544230769 × 10-6
Median Absolute Deviation (MAD)1.29 × 10-6
Skewness0
Sum0.0009926
Variance4.675704257 × 10-12
MonotonicityNot monotonic
2025-11-14T18:33:11.493669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.78 × 10-67
 
6.7%
1.06 × 10-55
 
4.8%
1.07 × 10-55
 
4.8%
1.01 × 10-54
 
3.8%
8.28 × 10-62
 
1.9%
1.32 × 10-52
 
1.9%
7.55 × 10-62
 
1.9%
8.1 × 10-62
 
1.9%
1.08 × 10-52
 
1.9%
1.11 × 10-52
 
1.9%
Other values (67)71
68.3%
ValueCountFrequency (%)
4.68 × 10-61
1.0%
5.91 × 10-61
1.0%
5.99 × 10-61
1.0%
6.31 × 10-61
1.0%
6.42 × 10-61
1.0%
ValueCountFrequency (%)
1.79 × 10-51
1.0%
1.47 × 10-51
1.0%
1.46 × 10-51
1.0%
1.41 × 10-51
1.0%
1.35 × 10-51
1.0%

gmrt_in_air22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.7611565
Minimum58.08730906
Maximum297.868762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:11.581996image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum58.08730906
5-th percentile74.79250373
Q1104.7881106
median146.5158305
Q3184.2948103
95-th percentile261.9351571
Maximum297.868762
Range239.7814529
Interquartile range (IQR)79.50669968

Descriptive statistics

Standard deviation58.05387254
Coefficient of variation (CV)0.3800303289
Kurtosis-0.1892941839
Mean152.7611565
Median Absolute Deviation (MAD)41.8573774
Skewness0.6937503337
Sum15887.16027
Variance3370.252117
MonotonicityNot monotonic
2025-11-14T18:33:11.674191image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
261.93515717
 
6.7%
93.332647191
 
1.0%
74.342085471
 
1.0%
168.66431081
 
1.0%
188.87231121
 
1.0%
261.36854661
 
1.0%
128.36227651
 
1.0%
85.913950231
 
1.0%
129.4421671
 
1.0%
69.951218561
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
58.087309061
1.0%
64.042995351
1.0%
64.153361341
1.0%
64.352232961
1.0%
69.951218561
1.0%
ValueCountFrequency (%)
297.8687621
 
1.0%
293.16837811
 
1.0%
285.4665611
 
1.0%
261.93515717
6.7%
261.36854661
 
1.0%

gmrt_on_paper22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.8083655
Minimum26.73545339
Maximum376.723102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:11.756439image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum26.73545339
5-th percentile78.77383238
Q1128.6179168
median168.4509675
Q3207.0448159
95-th percentile273.3702231
Maximum376.723102
Range349.9876486
Interquartile range (IQR)78.42689917

Descriptive statistics

Standard deviation59.13991448
Coefficient of variation (CV)0.3503375813
Kurtosis0.7628448698
Mean168.8083655
Median Absolute Deviation (MAD)39.0502373
Skewness0.4034396939
Sum17556.07001
Variance3497.529484
MonotonicityNot monotonic
2025-11-14T18:33:11.843055image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212.00682917
 
6.7%
158.4992161
 
1.0%
159.88206571
 
1.0%
148.54985941
 
1.0%
190.14900511
 
1.0%
231.59568271
 
1.0%
155.62502521
 
1.0%
119.48934491
 
1.0%
144.301941
 
1.0%
90.686374221
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
26.735453391
1.0%
55.87737911
1.0%
56.986141781
1.0%
61.185661031
1.0%
75.278081021
1.0%
ValueCountFrequency (%)
376.7231021
1.0%
298.12724531
1.0%
290.35454351
1.0%
279.65540811
1.0%
277.66452551
1.0%

max_x_extension22
Real number (ℝ)

Distinct93
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1207.615385
Minimum622
Maximum4320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:11.931713image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum622
5-th percentile717.35
Q1896.5
median1049
Q31368.5
95-th percentile1921
Maximum4320
Range3698
Interquartile range (IQR)472

Descriptive statistics

Standard deviation554.943928
Coefficient of variation (CV)0.459536981
Kurtosis16.53686483
Mean1207.615385
Median Absolute Deviation (MAD)196
Skewness3.436201304
Sum125592
Variance307962.7633
MonotonicityNot monotonic
2025-11-14T18:33:12.023343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19217
 
6.7%
11082
 
1.9%
15302
 
1.9%
12392
 
1.9%
10492
 
1.9%
8742
 
1.9%
6281
 
1.0%
10501
 
1.0%
13231
 
1.0%
9891
 
1.0%
Other values (83)83
79.8%
ValueCountFrequency (%)
6221
1.0%
6281
1.0%
6711
1.0%
6841
1.0%
7101
1.0%
ValueCountFrequency (%)
43201
 
1.0%
42281
 
1.0%
19671
 
1.0%
19217
6.7%
19181
 
1.0%

max_y_extension22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6315.778846
Minimum3782
Maximum10317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:12.114724image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3782
5-th percentile4818.15
Q15283.75
median5976.5
Q37037.25
95-th percentile8640.45
Maximum10317
Range6535
Interquartile range (IQR)1753.5

Descriptive statistics

Standard deviation1338.194617
Coefficient of variation (CV)0.211881171
Kurtosis0.6175294981
Mean6315.778846
Median Absolute Deviation (MAD)863
Skewness0.9393714835
Sum656841
Variance1790764.834
MonotonicityNot monotonic
2025-11-14T18:33:12.206675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78347
 
6.7%
48221
 
1.0%
50781
 
1.0%
61001
 
1.0%
69161
 
1.0%
50871
 
1.0%
55911
 
1.0%
46321
 
1.0%
53271
 
1.0%
74011
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
37821
1.0%
45441
1.0%
46281
1.0%
46321
1.0%
47091
1.0%
ValueCountFrequency (%)
103171
1.0%
102151
1.0%
101881
1.0%
94121
1.0%
89321
1.0%

mean_acc_in_air22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2813946826
Minimum0.149692783
Maximum1.171408552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:12.290534image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.149692783
5-th percentile0.1748209096
Q10.2030593615
median0.227583743
Q30.3144572418
95-th percentile0.5630752651
Maximum1.171408552
Range1.021715769
Interquartile range (IQR)0.1113978802

Descriptive statistics

Standard deviation0.1407174
Coefficient of variation (CV)0.5000712832
Kurtosis15.67588663
Mean0.2813946826
Median Absolute Deviation (MAD)0.0357225645
Skewness3.294703966
Sum29.26504699
Variance0.01980138667
MonotonicityNot monotonic
2025-11-14T18:33:12.387371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2275837437
 
6.7%
0.1875694321
 
1.0%
0.1496927831
 
1.0%
0.2925556911
 
1.0%
0.2093812561
 
1.0%
0.3123426491
 
1.0%
0.6733937531
 
1.0%
0.2085138391
 
1.0%
0.212239511
 
1.0%
0.2538762871
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
0.1496927831
1.0%
0.1649438751
1.0%
0.1667028861
1.0%
0.1670596631
1.0%
0.1711097861
1.0%
ValueCountFrequency (%)
1.1714085521
1.0%
0.6733937531
1.0%
0.6400865661
1.0%
0.6360591461
1.0%
0.625883911
1.0%

mean_acc_on_paper22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1480595104
Minimum0.103854663
Maximum0.269158683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:12.473240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.103854663
5-th percentile0.1160543387
Q10.133339666
median0.1441720615
Q30.161530174
95-th percentile0.1875538694
Maximum0.269158683
Range0.16530402
Interquartile range (IQR)0.028190508

Descriptive statistics

Standard deviation0.02612402561
Coefficient of variation (CV)0.1764427395
Kurtosis4.599525317
Mean0.1480595104
Median Absolute Deviation (MAD)0.013376669
Skewness1.535164484
Sum15.39818908
Variance0.0006824647142
MonotonicityNot monotonic
2025-11-14T18:33:12.562314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1333396667
 
6.7%
0.1792771991
 
1.0%
0.1614179141
 
1.0%
0.133081711
 
1.0%
0.1391801381
 
1.0%
0.1809814651
 
1.0%
0.1862557521
 
1.0%
0.1400196141
 
1.0%
0.1497410171
 
1.0%
0.1042320991
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
0.1038546631
1.0%
0.1042320991
1.0%
0.1059421041
1.0%
0.1067673791
1.0%
0.1143899051
1.0%
ValueCountFrequency (%)
0.2691586831
1.0%
0.2365935281
1.0%
0.2163191281
1.0%
0.2008827471
1.0%
0.197724111
1.0%

mean_gmrt22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.784761
Minimum57.89714839
Maximum303.5761994
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:12.654308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum57.89714839
5-th percentile80.03417495
Q1123.7782286
median157.384115
Q3196.5198931
95-th percentile249.1843431
Maximum303.5761994
Range245.679051
Interquartile range (IQR)72.74166457

Descriptive statistics

Standard deviation52.39766491
Coefficient of variation (CV)0.3258870094
Kurtosis-0.2894916285
Mean160.784761
Median Absolute Deviation (MAD)34.79415285
Skewness0.3414891946
Sum16721.61514
Variance2745.515288
MonotonicityNot monotonic
2025-11-14T18:33:12.910322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236.97099317
 
6.7%
125.91593161
 
1.0%
117.11207561
 
1.0%
158.60708511
 
1.0%
189.51065811
 
1.0%
246.48211461
 
1.0%
141.99365091
 
1.0%
102.70164751
 
1.0%
136.87205351
 
1.0%
80.318796391
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
57.897148391
1.0%
60.569751561
1.0%
71.002404881
1.0%
76.479216621
1.0%
77.940632951
1.0%
ValueCountFrequency (%)
303.57619941
1.0%
287.91055231
1.0%
260.08401241
1.0%
254.85909051
1.0%
253.3802071
1.0%

mean_jerk_in_air22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04195121986
Minimum0.018455785
Maximum0.219737979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:13.082218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.018455785
5-th percentile0.0214168744
Q10.0262079795
median0.0327181245
Q30.0501623885
95-th percentile0.09867645775
Maximum0.219737979
Range0.201282194
Interquartile range (IQR)0.023954409

Descriptive statistics

Standard deviation0.02808094806
Coefficient of variation (CV)0.6693714309
Kurtosis15.93783663
Mean0.04195121986
Median Absolute Deviation (MAD)0.008177294
Skewness3.358473223
Sum4.362926865
Variance0.0007885396441
MonotonicityNot monotonic
2025-11-14T18:33:13.166250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0327525377
 
6.7%
0.0234646761
 
1.0%
0.0184557851
 
1.0%
0.0409551791
 
1.0%
0.0313131621
 
1.0%
0.044210541
 
1.0%
0.124617011
 
1.0%
0.0243009881
 
1.0%
0.0248966961
 
1.0%
0.0379712191
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
0.0184557851
1.0%
0.0195668971
1.0%
0.0206479541
1.0%
0.020823721
1.0%
0.0212896481
1.0%
ValueCountFrequency (%)
0.2197379791
1.0%
0.124617011
1.0%
0.1163357131
1.0%
0.112296971
1.0%
0.1107676251
1.0%

mean_jerk_on_paper22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01901272639
Minimum0.012210077
Maximum0.03001171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:13.259320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.012210077
5-th percentile0.0150064872
Q10.0170946695
median0.0187079805
Q30.01996960475
95-th percentile0.02407952575
Maximum0.03001171
Range0.017801633
Interquartile range (IQR)0.00287493525

Descriptive statistics

Standard deviation0.002902056511
Coefficient of variation (CV)0.1526375781
Kurtosis1.952045482
Mean0.01901272639
Median Absolute Deviation (MAD)0.001514135
Skewness0.9426042981
Sum1.977323545
Variance8.421931991 × 10-6
MonotonicityNot monotonic
2025-11-14T18:33:13.352421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0195383397
 
6.7%
0.0208495741
 
1.0%
0.0214923881
 
1.0%
0.0175286211
 
1.0%
0.0181223451
 
1.0%
0.022834271
 
1.0%
0.0274885421
 
1.0%
0.0184093961
 
1.0%
0.019094871
 
1.0%
0.0149896711
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
0.0122100771
1.0%
0.0134402981
1.0%
0.0143796521
1.0%
0.0143967041
1.0%
0.0147165351
1.0%
ValueCountFrequency (%)
0.030011711
1.0%
0.0274885421
1.0%
0.0260979191
1.0%
0.0259626151
1.0%
0.0246273881
1.0%

mean_speed_in_air22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.923190689
Minimum0.979261435
Maximum6.175674233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:13.453310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.979261435
5-th percentile1.478100499
Q12.059789228
median2.887224706
Q33.456608384
95-th percentile4.732311736
Maximum6.175674233
Range5.196412798
Interquartile range (IQR)1.396819156

Descriptive statistics

Standard deviation1.04694509
Coefficient of variation (CV)0.3581514863
Kurtosis-0.06254146396
Mean2.923190689
Median Absolute Deviation (MAD)0.8086282215
Skewness0.6029011325
Sum304.0118317
Variance1.096094022
MonotonicityNot monotonic
2025-11-14T18:33:13.564703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.2585557637
 
6.7%
1.8044287691
 
1.0%
1.4445788351
 
1.0%
3.3155855541
 
1.0%
3.6483580381
 
1.0%
5.117429361
 
1.0%
2.7817825861
 
1.0%
1.6680565961
 
1.0%
2.3689035051
 
1.0%
1.7755719831
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
0.9792614351
1.0%
1.194075021
1.0%
1.2943538711
1.0%
1.340940161
1.0%
1.4432909231
1.0%
ValueCountFrequency (%)
6.1756742331
1.0%
5.2161524981
1.0%
5.1696492771
1.0%
5.117429361
1.0%
4.8829670271
1.0%

mean_speed_on_paper22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.56631699
Minimum0.359459405
Maximum6.026307427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:13.636467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.359459405
5-th percentile1.184435775
Q11.949686609
median2.5415289
Q32.999253662
95-th percentile4.222164405
Maximum6.026307427
Range5.666848022
Interquartile range (IQR)1.049567053

Descriptive statistics

Standard deviation0.9551713676
Coefficient of variation (CV)0.3721953958
Kurtosis0.9424486221
Mean2.56631699
Median Absolute Deviation (MAD)0.522730774
Skewness0.5032366179
Sum266.8969669
Variance0.9123523415
MonotonicityNot monotonic
2025-11-14T18:33:13.734121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.9794678677
 
6.7%
2.5499936071
 
1.0%
2.3877199161
 
1.0%
2.2533106051
 
1.0%
2.9217719721
 
1.0%
3.7337100161
 
1.0%
2.3098532881
 
1.0%
1.8585862451
 
1.0%
2.0204279251
 
1.0%
1.3428362191
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
0.3594594051
1.0%
0.7837646931
1.0%
0.8595775321
1.0%
0.9393714781
1.0%
1.1410447241
1.0%
ValueCountFrequency (%)
6.0263074271
1.0%
4.7967670331
1.0%
4.4567765641
1.0%
4.4556047081
1.0%
4.3266653061
1.0%

num_of_pendown22
Real number (ℝ)

Distinct12
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.08653846
Minimum8
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:13.802346image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11
Q112
median12
Q314
95-th percentile17
Maximum29
Range21
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.566061456
Coefficient of variation (CV)0.1960840495
Kurtosis14.61844781
Mean13.08653846
Median Absolute Deviation (MAD)1
Skewness2.963787734
Sum1361
Variance6.584671397
MonotonicityNot monotonic
2025-11-14T18:33:13.859309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1244
42.3%
1318
17.3%
149
 
8.7%
119
 
8.7%
156
 
5.8%
165
 
4.8%
104
 
3.8%
183
 
2.9%
173
 
2.9%
291
 
1.0%
Other values (2)2
 
1.9%
ValueCountFrequency (%)
81
 
1.0%
104
 
3.8%
119
 
8.7%
1244
42.3%
1318
17.3%
ValueCountFrequency (%)
291
 
1.0%
221
 
1.0%
183
2.9%
173
2.9%
165
4.8%

paper_time22
Real number (ℝ)

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6618.221154
Minimum2250
Maximum42935
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:13.940886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2250
5-th percentile3506
Q14476.25
median5480
Q36795
95-th percentile13059.75
Maximum42935
Range40685
Interquartile range (IQR)2318.75

Descriptive statistics

Standard deviation4613.018036
Coefficient of variation (CV)0.6970178132
Kurtosis37.18981411
Mean6618.221154
Median Absolute Deviation (MAD)1192.5
Skewness5.139074693
Sum688295
Variance21279935.4
MonotonicityNot monotonic
2025-11-14T18:33:14.027103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48007
 
6.7%
54552
 
1.9%
46952
 
1.9%
49402
 
1.9%
58052
 
1.9%
69951
 
1.0%
66751
 
1.0%
56601
 
1.0%
28751
 
1.0%
52901
 
1.0%
Other values (84)84
80.8%
ValueCountFrequency (%)
22501
1.0%
26801
1.0%
28751
1.0%
31001
1.0%
33801
1.0%
ValueCountFrequency (%)
429351
1.0%
161401
1.0%
159951
1.0%
153351
1.0%
137151
1.0%

pressure_mean22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1620.044222
Minimum678.6046512
Maximum1958.374241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:14.110509image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum678.6046512
5-th percentile974.7822021
Q11482.872843
median1716.129273
Q31843.151048
95-th percentile1945.045833
Maximum1958.374241
Range1279.76959
Interquartile range (IQR)360.2782045

Descriptive statistics

Standard deviation307.8048266
Coefficient of variation (CV)0.189997793
Kurtosis0.8225525777
Mean1620.044222
Median Absolute Deviation (MAD)160.987695
Skewness-1.221286128
Sum168484.599
Variance94743.81129
MonotonicityNot monotonic
2025-11-14T18:33:14.210074image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1945.0458337
 
6.7%
1085.75131
 
1.0%
1908.4218361
 
1.0%
1361.3816251
 
1.0%
1677.239231
 
1.0%
1840.8678261
 
1.0%
1121.1455581
 
1.0%
1718.1847351
 
1.0%
1829.9723321
 
1.0%
969.9737351
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
678.60465121
1.0%
706.00309761
1.0%
880.94398681
1.0%
933.20746361
1.0%
956.99041671
1.0%
ValueCountFrequency (%)
1958.3742411
 
1.0%
1945.0458337
6.7%
1933.8015691
 
1.0%
1930.1145041
 
1.0%
1928.1950391
 
1.0%

pressure_var22
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193259.9358
Minimum67364.47805
Maximum495335.0637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:14.302335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum67364.47805
5-th percentile99779.68957
Q1141104.9379
median185087.0495
Q3229924.0425
95-th percentile334811.2322
Maximum495335.0637
Range427970.5857
Interquartile range (IQR)88819.10465

Descriptive statistics

Standard deviation74461.40553
Coefficient of variation (CV)0.3852914739
Kurtosis2.018253763
Mean193259.9358
Median Absolute Deviation (MAD)44871.02135
Skewness1.08828992
Sum20099033.33
Variance5544500913
MonotonicityNot monotonic
2025-11-14T18:33:14.396189image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99779.689577
 
6.7%
233727.80861
 
1.0%
117059.25631
 
1.0%
149527.93561
 
1.0%
341822.99231
 
1.0%
200571.28691
 
1.0%
211889.29071
 
1.0%
346629.78631
 
1.0%
186153.53281
 
1.0%
387352.62741
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
67364.478051
 
1.0%
79649.586161
 
1.0%
87763.774891
 
1.0%
99420.106151
 
1.0%
99779.689577
6.7%
ValueCountFrequency (%)
495335.06371
1.0%
387352.62741
1.0%
385186.25321
1.0%
346629.78631
1.0%
341822.99231
1.0%

total_time22
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29744.16346
Minimum4345
Maximum1489270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:14.482693image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4345
5-th percentile5880.75
Q17298.75
median10772.5
Q319577.5
95-th percentile39877
Maximum1489270
Range1484925
Interquartile range (IQR)12278.75

Descriptive statistics

Standard deviation145075.9069
Coefficient of variation (CV)4.877457964
Kurtosis102.3328686
Mean29744.16346
Median Absolute Deviation (MAD)3957.5
Skewness10.07815831
Sum3093393
Variance2.104701878 × 1010
MonotonicityNot monotonic
2025-11-14T18:33:14.575448image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68157
 
6.7%
68252
 
1.9%
68452
 
1.9%
317851
 
1.0%
93151
 
1.0%
137301
 
1.0%
43851
 
1.0%
14892701
 
1.0%
107851
 
1.0%
88351
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
43451
1.0%
43851
1.0%
52051
1.0%
57201
1.0%
57501
1.0%
ValueCountFrequency (%)
14892701
1.0%
871101
1.0%
573001
1.0%
491751
1.0%
457801
1.0%

air_time23
Real number (ℝ)

Distinct97
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10713.54808
Minimum1710
Maximum292670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:14.661232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1710
5-th percentile2322.25
Q13616.25
median5745
Q39200
95-th percentile24544
Maximum292670
Range290960
Interquartile range (IQR)5583.75

Descriptive statistics

Standard deviation28789.08889
Coefficient of variation (CV)2.687166631
Kurtosis91.6241995
Mean10713.54808
Median Absolute Deviation (MAD)2747.5
Skewness9.319183421
Sum1114209
Variance828811639.1
MonotonicityNot monotonic
2025-11-14T18:33:14.755757image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92006
 
5.8%
38102
 
1.9%
25702
 
1.9%
85751
 
1.0%
20301
 
1.0%
52001
 
1.0%
62551
 
1.0%
41151
 
1.0%
149651
 
1.0%
28051
 
1.0%
Other values (87)87
83.7%
ValueCountFrequency (%)
17101
1.0%
18501
1.0%
20151
1.0%
20301
1.0%
21951
1.0%
ValueCountFrequency (%)
2926701
1.0%
409901
1.0%
393301
1.0%
294651
1.0%
265051
1.0%

disp_index23
Real number (ℝ)

Distinct80
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.403269231 × 10-6
Minimum4.92 × 10-6
Maximum1.78 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:14.841322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4.92 × 10-6
5-th percentile6.9545 × 10-6
Q18.065 × 10-6
median8.92 × 10-6
Q31.0325 × 10-5
95-th percentile1.307 × 10-5
Maximum1.78 × 10-5
Range1.288 × 10-5
Interquartile range (IQR)2.26 × 10-6

Descriptive statistics

Standard deviation2.143275527 × 10-6
Coefficient of variation (CV)0.2279287633
Kurtosis0
Mean9.403269231 × 10-6
Median Absolute Deviation (MAD)1.18 × 10-6
Skewness0
Sum0.00097794
Variance4.593629985 × 10-12
MonotonicityNot monotonic
2025-11-14T18:33:14.942797image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.57 × 10-66
 
5.8%
1.09 × 10-53
 
2.9%
6.03 × 10-62
 
1.9%
7.38 × 10-62
 
1.9%
8.96 × 10-62
 
1.9%
1.08 × 10-52
 
1.9%
7.8 × 10-62
 
1.9%
1.19 × 10-52
 
1.9%
7.55 × 10-62
 
1.9%
1.02 × 10-52
 
1.9%
Other values (70)79
76.0%
ValueCountFrequency (%)
4.92 × 10-61
1.0%
5.83 × 10-61
1.0%
6.03 × 10-62
1.9%
6.4 × 10-61
1.0%
6.95 × 10-61
1.0%
ValueCountFrequency (%)
1.78 × 10-51
1.0%
1.56 × 10-51
1.0%
1.54 × 10-51
1.0%
1.5 × 10-51
1.0%
1.4 × 10-51
1.0%

gmrt_in_air23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.3274126
Minimum54.18871074
Maximum314.2385332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:15.209886image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum54.18871074
5-th percentile79.45072299
Q1116.2519573
median155.5616016
Q3191.6597938
95-th percentile258.2022315
Maximum314.2385332
Range260.0498225
Interquartile range (IQR)75.40783647

Descriptive statistics

Standard deviation57.23863362
Coefficient of variation (CV)0.3592516358
Kurtosis-0.1305997405
Mean159.3274126
Median Absolute Deviation (MAD)39.5457474
Skewness0.507337688
Sum16570.05091
Variance3276.261179
MonotonicityNot monotonic
2025-11-14T18:33:15.296748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
157.00640356
 
5.8%
89.14531551
 
1.0%
115.54364781
 
1.0%
168.36667341
 
1.0%
244.73482821
 
1.0%
141.43148651
 
1.0%
98.867002651
 
1.0%
93.827536071
 
1.0%
104.33806671
 
1.0%
125.54873781
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
54.188710741
1.0%
63.343292931
1.0%
65.317368541
1.0%
69.566105331
1.0%
69.893235441
1.0%
ValueCountFrequency (%)
314.23853321
1.0%
310.61570781
1.0%
286.77319681
1.0%
285.62632161
1.0%
262.54450811
1.0%

gmrt_on_paper23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.7361226
Minimum40.84819674
Maximum441.2585578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:15.375277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum40.84819674
5-th percentile75.6614629
Q1152.4076894
median184.1611029
Q3249.0963332
95-th percentile312.2448864
Maximum441.2585578
Range400.4103611
Interquartile range (IQR)96.68864378

Descriptive statistics

Standard deviation76.47001739
Coefficient of variation (CV)0.3867276063
Kurtosis0.5868439395
Mean197.7361226
Median Absolute Deviation (MAD)49.6888478
Skewness0.3772729715
Sum20564.55676
Variance5847.66356
MonotonicityNot monotonic
2025-11-14T18:33:15.468210image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
270.97199966
 
5.8%
152.94323281
 
1.0%
186.345131
 
1.0%
177.94614511
 
1.0%
274.63985121
 
1.0%
124.62391991
 
1.0%
126.48302961
 
1.0%
155.67548331
 
1.0%
157.8230131
 
1.0%
177.76717241
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
40.848196741
1.0%
48.211172391
1.0%
50.578491291
1.0%
52.977313441
1.0%
63.381972941
1.0%
ValueCountFrequency (%)
441.25855781
1.0%
431.42013431
1.0%
336.74961381
1.0%
326.76211161
1.0%
313.89232451
1.0%

max_x_extension23
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1343.019231
Minimum556
Maximum10766
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:15.561995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum556
5-th percentile727.3
Q1876.25
median1164.5
Q31337.25
95-th percentile1941.35
Maximum10766
Range10210
Interquartile range (IQR)461

Descriptive statistics

Standard deviation1227.799223
Coefficient of variation (CV)0.9142082218
Kurtosis41.0629801
Mean1343.019231
Median Absolute Deviation (MAD)242
Skewness6.062351507
Sum139674
Variance1507490.932
MonotonicityNot monotonic
2025-11-14T18:33:15.647653image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12416
 
5.8%
16202
 
1.9%
8512
 
1.9%
8712
 
1.9%
8531
 
1.0%
11291
 
1.0%
7911
 
1.0%
7711
 
1.0%
11961
 
1.0%
5611
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
5561
1.0%
5611
1.0%
6161
1.0%
6491
1.0%
6691
1.0%
ValueCountFrequency (%)
107661
1.0%
78391
1.0%
43241
1.0%
25291
1.0%
19451
1.0%

max_y_extension23
Real number (ℝ)

Distinct98
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7575.653846
Minimum3533
Maximum18697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:15.754513image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3533
5-th percentile4922.7
Q16278
median7316.5
Q38921.25
95-th percentile10381.35
Maximum18697
Range15164
Interquartile range (IQR)2643.25

Descriptive statistics

Standard deviation2048.187576
Coefficient of variation (CV)0.2703644619
Kurtosis7.291213558
Mean7575.653846
Median Absolute Deviation (MAD)1362.5
Skewness1.598295533
Sum787868
Variance4195072.345
MonotonicityNot monotonic
2025-11-14T18:33:15.842727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91316
 
5.8%
74602
 
1.9%
35331
 
1.0%
62211
 
1.0%
104131
 
1.0%
74171
 
1.0%
82071
 
1.0%
42091
 
1.0%
78581
 
1.0%
51831
 
1.0%
Other values (88)88
84.6%
ValueCountFrequency (%)
35331
1.0%
40131
1.0%
42091
1.0%
48901
1.0%
49061
1.0%
ValueCountFrequency (%)
186971
1.0%
126361
1.0%
110321
1.0%
106241
1.0%
104621
1.0%

mean_acc_in_air23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2749175866
Minimum0.136754673
Maximum0.769985904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:15.938107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.136754673
5-th percentile0.1630007063
Q10.200303568
median0.231681965
Q30.3153982723
95-th percentile0.5228169909
Maximum0.769985904
Range0.633231231
Interquartile range (IQR)0.1150947042

Descriptive statistics

Standard deviation0.1111115788
Coefficient of variation (CV)0.4041632265
Kurtosis3.868162265
Mean0.2749175866
Median Absolute Deviation (MAD)0.050352603
Skewness1.766210091
Sum28.591429
Variance0.01234578295
MonotonicityNot monotonic
2025-11-14T18:33:16.020752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2212723746
 
5.8%
0.1644943281
 
1.0%
0.1789787271
 
1.0%
0.3288859021
 
1.0%
0.4158964761
 
1.0%
0.3465483521
 
1.0%
0.2222051081
 
1.0%
0.1869043691
 
1.0%
0.1926385621
 
1.0%
0.1636416931
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
0.1367546731
1.0%
0.1457849151
1.0%
0.1530269081
1.0%
0.1558120061
1.0%
0.1618429311
1.0%
ValueCountFrequency (%)
0.7699859041
1.0%
0.5790708311
1.0%
0.5718128231
1.0%
0.5610188931
1.0%
0.5490777391
1.0%

mean_acc_on_paper23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1556774363
Minimum0.088643756
Maximum0.297567147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:16.116284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.088643756
5-th percentile0.1192981513
Q10.1374865198
median0.15028459
Q30.16975637
95-th percentile0.2055023877
Maximum0.297567147
Range0.208923391
Interquartile range (IQR)0.03226985025

Descriptive statistics

Standard deviation0.02936971476
Coefficient of variation (CV)0.1886574924
Kurtosis4.592352713
Mean0.1556774363
Median Absolute Deviation (MAD)0.015764982
Skewness1.26308185
Sum16.19045338
Variance0.000862580145
MonotonicityNot monotonic
2025-11-14T18:33:16.212072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1448118736
 
5.8%
0.1876067851
 
1.0%
0.173604271
 
1.0%
0.1438630761
 
1.0%
0.2058981531
 
1.0%
0.1302790091
 
1.0%
0.1469786921
 
1.0%
0.1495789281
 
1.0%
0.1467745331
 
1.0%
0.1633495921
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
0.0886437561
1.0%
0.1006503581
1.0%
0.1009553091
1.0%
0.1045408271
1.0%
0.1071314751
1.0%
ValueCountFrequency (%)
0.2975671471
1.0%
0.2231926831
1.0%
0.2229955571
1.0%
0.2109775241
1.0%
0.2099749481
1.0%

mean_gmrt23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.5317676
Minimum58.78534184
Maximum334.1055138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:16.294514image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum58.78534184
5-th percentile77.56071504
Q1142.1516651
median175.2849305
Q3213.9892016
95-th percentile266.1144416
Maximum334.1055138
Range275.320172
Interquartile range (IQR)71.83753655

Descriptive statistics

Standard deviation59.201403
Coefficient of variation (CV)0.3316015059
Kurtosis-0.1054022488
Mean178.5317676
Median Absolute Deviation (MAD)38.7042711
Skewness0.2080462438
Sum18567.30383
Variance3504.806118
MonotonicityNot monotonic
2025-11-14T18:33:16.381328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213.98920166
 
5.8%
121.04427411
 
1.0%
150.94438891
 
1.0%
173.15640921
 
1.0%
259.68733971
 
1.0%
133.02770321
 
1.0%
112.67501611
 
1.0%
124.75150971
 
1.0%
131.08053991
 
1.0%
151.65795511
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
58.785341841
1.0%
60.235863361
1.0%
60.698291211
1.0%
69.443302441
1.0%
69.736066141
1.0%
ValueCountFrequency (%)
334.10551381
1.0%
330.18590031
1.0%
311.18796771
1.0%
295.9692781
1.0%
266.27108121
1.0%

mean_jerk_in_air23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04044461722
Minimum0.018213528
Maximum0.139370238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:16.464999image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.018213528
5-th percentile0.02032999005
Q10.02572898975
median0.032746813
Q30.04840356375
95-th percentile0.090259831
Maximum0.139370238
Range0.12115671
Interquartile range (IQR)0.022674574

Descriptive statistics

Standard deviation0.02214951762
Coefficient of variation (CV)0.5476505686
Kurtosis4.16223103
Mean0.04044461722
Median Absolute Deviation (MAD)0.008941322
Skewness1.896392459
Sum4.206240191
Variance0.0004906011307
MonotonicityNot monotonic
2025-11-14T18:33:16.568310image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0297380586
 
5.8%
0.0211391061
 
1.0%
0.0238674771
 
1.0%
0.0526255031
 
1.0%
0.0625655391
 
1.0%
0.0555683991
 
1.0%
0.0248309091
 
1.0%
0.0263302871
 
1.0%
0.0222725271
 
1.0%
0.0219245941
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
0.0182135281
1.0%
0.0182834491
1.0%
0.0187493361
1.0%
0.0195348561
1.0%
0.0197676211
1.0%
ValueCountFrequency (%)
0.1393702381
1.0%
0.102219581
1.0%
0.1019008431
1.0%
0.0989237341
1.0%
0.0974239371
1.0%

mean_jerk_on_paper23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01950793049
Minimum0.01033333
Maximum0.028632118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:16.655818image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.01033333
5-th percentile0.01456560635
Q10.0175922285
median0.019557754
Q30.02082000125
95-th percentile0.024419222
Maximum0.028632118
Range0.018298788
Interquartile range (IQR)0.00322777275

Descriptive statistics

Standard deviation0.003021273084
Coefficient of variation (CV)0.1548740952
Kurtosis1.261682591
Mean0.01950793049
Median Absolute Deviation (MAD)0.0017555655
Skewness0.1904496695
Sum2.028824771
Variance9.12809105 × 10-6
MonotonicityNot monotonic
2025-11-14T18:33:16.749324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0199337396
 
5.8%
0.0215908361
 
1.0%
0.0235055921
 
1.0%
0.0181808811
 
1.0%
0.0283248151
 
1.0%
0.0174674051
 
1.0%
0.0190714381
 
1.0%
0.0205323041
 
1.0%
0.0180688421
 
1.0%
0.0222050761
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
0.010333331
1.0%
0.0126751381
1.0%
0.0127814071
1.0%
0.0138412731
1.0%
0.0141015491
1.0%
ValueCountFrequency (%)
0.0286321181
1.0%
0.0283248151
1.0%
0.0265455971
1.0%
0.0245298951
1.0%
0.024484661
1.0%

mean_speed_in_air23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.102804798
Minimum1.032930958
Maximum6.420649542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:16.842352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.032930958
5-th percentile1.454845155
Q12.189916764
median3.079415348
Q33.775176786
95-th percentile5.051227126
Maximum6.420649542
Range5.387718584
Interquartile range (IQR)1.585260022

Descriptive statistics

Standard deviation1.088869538
Coefficient of variation (CV)0.3509307252
Kurtosis-0.09255589956
Mean3.102804798
Median Absolute Deviation (MAD)0.808242152
Skewness0.4603185388
Sum322.691699
Variance1.185636871
MonotonicityNot monotonic
2025-11-14T18:33:16.931462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.0794153486
 
5.8%
1.6180833181
 
1.0%
2.3807215261
 
1.0%
3.2822067471
 
1.0%
4.966101761
 
1.0%
2.9024730131
 
1.0%
1.9204080131
 
1.0%
1.8015659951
 
1.0%
1.8739433711
 
1.0%
2.4922330181
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
1.0329309581
1.0%
1.2675201141
1.0%
1.2979071121
1.0%
1.391736321
1.0%
1.397875931
1.0%
ValueCountFrequency (%)
6.4206495421
1.0%
5.46857791
1.0%
5.3384015751
1.0%
5.263321261
1.0%
5.1798256951
1.0%

mean_speed_on_paper23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.930085757
Minimum0.429307349
Maximum7.219390713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:17.011105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.429307349
5-th percentile1.028863196
Q12.18391144
median2.914922986
Q33.503547092
95-th percentile4.869920458
Maximum7.219390713
Range6.790083364
Interquartile range (IQR)1.319635652

Descriptive statistics

Standard deviation1.218304726
Coefficient of variation (CV)0.4157914912
Kurtosis1.037650933
Mean2.930085757
Median Absolute Deviation (MAD)0.709572701
Skewness0.5497649778
Sum304.7289187
Variance1.484266406
MonotonicityNot monotonic
2025-11-14T18:33:17.097785image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2992117096
 
5.8%
2.6718145271
 
1.0%
2.7499331221
 
1.0%
2.4923475011
 
1.0%
4.1871474861
 
1.0%
1.7333605431
 
1.0%
1.9262451141
 
1.0%
2.3347833531
 
1.0%
2.1542787261
 
1.0%
2.7739180231
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
0.4293073491
1.0%
0.6228100731
1.0%
0.713088771
1.0%
0.7826373481
1.0%
0.8956338341
1.0%
ValueCountFrequency (%)
7.2193907131
1.0%
6.484459171
1.0%
5.3907057591
1.0%
5.3726785111
1.0%
4.9942854971
1.0%

num_of_pendown23
Real number (ℝ)

Distinct12
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.80769231
Minimum9
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:17.165163image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11
Q112
median13
Q313
95-th percentile15
Maximum24
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.141031976
Coefficient of variation (CV)0.1671676618
Kurtosis10.34214094
Mean12.80769231
Median Absolute Deviation (MAD)1
Skewness2.57312041
Sum1332
Variance4.584017924
MonotonicityNot monotonic
2025-11-14T18:33:17.406556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1330
28.8%
1227
26.0%
1119
18.3%
1415
14.4%
154
 
3.8%
92
 
1.9%
102
 
1.9%
201
 
1.0%
241
 
1.0%
181
 
1.0%
Other values (2)2
 
1.9%
ValueCountFrequency (%)
92
 
1.9%
102
 
1.9%
1119
18.3%
1227
26.0%
1330
28.8%
ValueCountFrequency (%)
241
1.0%
221
1.0%
201
1.0%
181
1.0%
171
1.0%

paper_time23
Real number (ℝ)

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6303.942308
Minimum2375
Maximum33860
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:17.483401image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2375
5-th percentile3416.75
Q14342.5
median5072.5
Q36315
95-th percentile15316.5
Maximum33860
Range31485
Interquartile range (IQR)1972.5

Descriptive statistics

Standard deviation4366.257572
Coefficient of variation (CV)0.6926233392
Kurtosis16.58985148
Mean6303.942308
Median Absolute Deviation (MAD)935
Skewness3.602963427
Sum655610
Variance19064205.18
MonotonicityNot monotonic
2025-11-14T18:33:17.561125image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50806
 
5.8%
45003
 
2.9%
51952
 
1.9%
48352
 
1.9%
47202
 
1.9%
34101
 
1.0%
50701
 
1.0%
61001
 
1.0%
74151
 
1.0%
34601
 
1.0%
Other values (84)84
80.8%
ValueCountFrequency (%)
23751
1.0%
25401
1.0%
29751
1.0%
33301
1.0%
33501
1.0%
ValueCountFrequency (%)
338601
1.0%
202151
1.0%
195851
1.0%
183501
1.0%
156851
1.0%

pressure_mean23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1603.213471
Minimum487.2016546
Maximum1982.654219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:17.656640image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum487.2016546
5-th percentile941.6361989
Q11456.96107
median1705.007355
Q31846.385657
95-th percentile1922.304214
Maximum1982.654219
Range1495.452564
Interquartile range (IQR)389.4245873

Descriptive statistics

Standard deviation315.381801
Coefficient of variation (CV)0.1967185323
Kurtosis1.081341952
Mean1603.213471
Median Absolute Deviation (MAD)172.812752
Skewness-1.231148841
Sum166734.201
Variance99465.68041
MonotonicityNot monotonic
2025-11-14T18:33:17.740347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1912.7135836
 
5.8%
1037.0784311
 
1.0%
1877.7643021
 
1.0%
1864.9190831
 
1.0%
1714.5982661
 
1.0%
906.84358291
 
1.0%
1813.5501551
 
1.0%
1907.9087541
 
1.0%
1713.5920921
 
1.0%
1532.1387981
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
487.20165461
1.0%
744.29997451
1.0%
884.15046061
1.0%
906.84358291
1.0%
929.8348911
1.0%
ValueCountFrequency (%)
1982.6542191
1.0%
1954.7151641
1.0%
1948.7359551
1.0%
1930.6455161
1.0%
1929.9957311
1.0%

pressure_var23
Real number (ℝ)

Distinct99
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193812.2108
Minimum28616.42573
Maximum358756.7108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:17.892319image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum28616.42573
5-th percentile100529.9055
Q1138502.0009
median187801.8186
Q3238195.4769
95-th percentile330144.3988
Maximum358756.7108
Range330140.2851
Interquartile range (IQR)99693.47605

Descriptive statistics

Standard deviation70265.47209
Coefficient of variation (CV)0.3625440925
Kurtosis-0.3487373469
Mean193812.2108
Median Absolute Deviation (MAD)50238.54405
Skewness0.3846961314
Sum20156469.93
Variance4937236568
MonotonicityNot monotonic
2025-11-14T18:33:17.987555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115158.10016
 
5.8%
204464.61621
 
1.0%
134297.0841
 
1.0%
155695.36631
 
1.0%
290554.9341
 
1.0%
151079.82181
 
1.0%
206241.40571
 
1.0%
173083.17341
 
1.0%
260030.92831
 
1.0%
203431.47471
 
1.0%
Other values (89)89
85.6%
ValueCountFrequency (%)
28616.425731
1.0%
62864.193021
1.0%
83479.654921
1.0%
95408.76111
1.0%
98432.834851
1.0%
ValueCountFrequency (%)
358756.71081
1.0%
346318.79481
1.0%
343173.19831
1.0%
333763.50571
1.0%
331899.66011
1.0%

total_time23
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17017.49038
Minimum5005
Maximum297195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:18.081908image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5005
5-th percentile6422.5
Q17925
median11077.5
Q315173.75
95-th percentile38599
Maximum297195
Range292190
Interquartile range (IQR)7248.75

Descriptive statistics

Standard deviation29723.10243
Coefficient of variation (CV)1.746620786
Kurtosis78.33645539
Mean17017.49038
Median Absolute Deviation (MAD)3340
Skewness8.385166144
Sum1769819
Variance883462818.1
MonotonicityNot monotonic
2025-11-14T18:33:18.170077image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
142806
 
5.8%
224452
 
1.9%
83102
 
1.9%
75752
 
1.9%
2971951
 
1.0%
132501
 
1.0%
113001
 
1.0%
136701
 
1.0%
76401
 
1.0%
139801
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
50051
1.0%
53251
1.0%
59701
1.0%
61001
1.0%
61151
1.0%
ValueCountFrequency (%)
2971951
1.0%
731901
1.0%
478151
1.0%
467201
1.0%
461851
1.0%

air_time24
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47423.99038
Minimum9150
Maximum318330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:18.256277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum9150
5-th percentile13300.5
Q123285
median31295
Q355551.25
95-th percentile123683.75
Maximum318330
Range309180
Interquartile range (IQR)32266.25

Descriptive statistics

Standard deviation42769.89046
Coefficient of variation (CV)0.9018619081
Kurtosis15.18273184
Mean47423.99038
Median Absolute Deviation (MAD)13157.5
Skewness3.132836399
Sum4932095
Variance1829263530
MonotonicityNot monotonic
2025-11-14T18:33:18.351383image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
232859
 
8.7%
150602
 
1.9%
330051
 
1.0%
487851
 
1.0%
312101
 
1.0%
369201
 
1.0%
248251
 
1.0%
1274001
 
1.0%
401301
 
1.0%
100551
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
91501
1.0%
95451
1.0%
100551
1.0%
123201
1.0%
128351
1.0%
ValueCountFrequency (%)
3183301
1.0%
1603001
1.0%
1527201
1.0%
1443451
1.0%
1274001
1.0%

disp_index24
Real number (ℝ)

Distinct79
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.285163462 × 10-5
Minimum7.29 × 10-6
Maximum4.72 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:18.441913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.29 × 10-6
5-th percentile1.2635 × 10-5
Q11.78 × 10-5
median2.235 × 10-5
Q32.63 × 10-5
95-th percentile3.6095 × 10-5
Maximum4.72 × 10-5
Range3.991 × 10-5
Interquartile range (IQR)8.5 × 10-6

Descriptive statistics

Standard deviation7.265773749 × 10-6
Coefficient of variation (CV)0.3179542239
Kurtosis1.477202531
Mean2.285163462 × 10-5
Median Absolute Deviation (MAD)4.15 × 10-6
Skewness0.8349416405
Sum0.00237657
Variance5.279146818 × 10-11
MonotonicityNot monotonic
2025-11-14T18:33:18.537496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.63 × 10-59
 
8.7%
1.78 × 10-53
 
2.9%
1.64 × 10-53
 
2.9%
2.03 × 10-52
 
1.9%
1.69 × 10-52
 
1.9%
2.56 × 10-52
 
1.9%
1.6 × 10-52
 
1.9%
1.97 × 10-52
 
1.9%
2.21 × 10-52
 
1.9%
2.29 × 10-52
 
1.9%
Other values (69)75
72.1%
ValueCountFrequency (%)
7.29 × 10-61
1.0%
9.08 × 10-61
1.0%
1.02 × 10-51
1.0%
1.13 × 10-51
1.0%
1.15 × 10-51
1.0%
ValueCountFrequency (%)
4.72 × 10-51
1.0%
4.67 × 10-51
1.0%
4.12 × 10-51
1.0%
3.84 × 10-51
1.0%
3.75 × 10-51
1.0%

gmrt_in_air24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.0654262
Minimum51.22016995
Maximum510.6151457
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:18.622896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum51.22016995
5-th percentile79.58509959
Q1115.3591864
median144.7584801
Q3195.1222419
95-th percentile238.173446
Maximum510.6151457
Range459.3949758
Interquartile range (IQR)79.7630555

Descriptive statistics

Standard deviation65.7464507
Coefficient of variation (CV)0.4133296108
Kurtosis7.177707943
Mean159.0654262
Median Absolute Deviation (MAD)39.84111745
Skewness1.804159437
Sum16542.80432
Variance4322.59578
MonotonicityNot monotonic
2025-11-14T18:33:18.712182image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
216.58845229
 
8.7%
138.82702681
 
1.0%
54.853837551
 
1.0%
81.538237351
 
1.0%
303.95080871
 
1.0%
77.842061911
 
1.0%
125.30320071
 
1.0%
91.467336991
 
1.0%
185.72946171
 
1.0%
186.62845641
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
51.220169951
1.0%
54.853837551
1.0%
59.779734161
1.0%
64.519176381
1.0%
77.842061911
1.0%
ValueCountFrequency (%)
510.61514571
1.0%
339.05958431
1.0%
306.14149611
1.0%
303.95080871
1.0%
289.53560371
1.0%

gmrt_on_paper24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.4591229
Minimum40.59304104
Maximum576.7760004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:18.806398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum40.59304104
5-th percentile64.54902555
Q1103.5748666
median152.4135425
Q3192.2273863
95-th percentile250.4477489
Maximum576.7760004
Range536.1829594
Interquartile range (IQR)88.65251972

Descriptive statistics

Standard deviation75.91133636
Coefficient of variation (CV)0.482101862
Kurtosis9.480763226
Mean157.4591229
Median Absolute Deviation (MAD)43.31650625
Skewness2.144071457
Sum16375.74879
Variance5762.530988
MonotonicityNot monotonic
2025-11-14T18:33:18.892272image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180.30570069
 
8.7%
92.258785641
 
1.0%
82.721928931
 
1.0%
78.936111441
 
1.0%
321.45976131
 
1.0%
146.85409581
 
1.0%
81.486752041
 
1.0%
78.779146591
 
1.0%
228.73818311
 
1.0%
152.33693991
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
40.593041041
1.0%
50.008486741
1.0%
51.731246781
1.0%
57.034370321
1.0%
58.543872331
1.0%
ValueCountFrequency (%)
576.77600041
1.0%
445.93972591
1.0%
321.45976131
1.0%
265.85466341
1.0%
255.55131421
1.0%

max_x_extension24
Real number (ℝ)

Distinct93
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6409.461538
Minimum2345
Maximum13719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:18.985970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2345
5-th percentile2960
Q14028.75
median6217.5
Q38245.25
95-th percentile10535.7
Maximum13719
Range11374
Interquartile range (IQR)4216.5

Descriptive statistics

Standard deviation2556.376554
Coefficient of variation (CV)0.3988441991
Kurtosis-0.3016670563
Mean6409.461538
Median Absolute Deviation (MAD)2133
Skewness0.4726246789
Sum666584
Variance6535061.086
MonotonicityNot monotonic
2025-11-14T18:33:19.085114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88649
 
8.7%
62902
 
1.9%
29952
 
1.9%
78992
 
1.9%
33421
 
1.0%
75271
 
1.0%
49671
 
1.0%
39041
 
1.0%
72431
 
1.0%
70281
 
1.0%
Other values (83)83
79.8%
ValueCountFrequency (%)
23451
1.0%
27721
1.0%
28421
1.0%
28761
1.0%
29151
1.0%
ValueCountFrequency (%)
137191
1.0%
129451
1.0%
125101
1.0%
114821
1.0%
113091
1.0%

max_y_extension24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6793.817308
Minimum2328
Maximum14396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:19.164789image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2328
5-th percentile2984.3
Q14273.75
median6649.5
Q39066.25
95-th percentile11180
Maximum14396
Range12068
Interquartile range (IQR)4792.5

Descriptive statistics

Standard deviation2798.371703
Coefficient of variation (CV)0.4118997578
Kurtosis-0.6805586638
Mean6793.817308
Median Absolute Deviation (MAD)2402.5
Skewness0.3292550672
Sum706557
Variance7830884.19
MonotonicityNot monotonic
2025-11-14T18:33:19.258502image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
95299
 
8.7%
50551
 
1.0%
26141
 
1.0%
30121
 
1.0%
57631
 
1.0%
63061
 
1.0%
52011
 
1.0%
43741
 
1.0%
70261
 
1.0%
69371
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
23281
1.0%
26141
1.0%
27151
1.0%
27181
1.0%
27561
1.0%
ValueCountFrequency (%)
143961
1.0%
129311
1.0%
128101
1.0%
124691
1.0%
113371
1.0%

mean_acc_in_air24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4888334247
Minimum0.181587735
Maximum2.55729665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:19.348108image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.181587735
5-th percentile0.2193270267
Q10.3170028302
median0.443710207
Q30.591298624
95-th percentile0.8160238506
Maximum2.55729665
Range2.375708915
Interquartile range (IQR)0.2742957938

Descriptive statistics

Standard deviation0.3017182918
Coefficient of variation (CV)0.6172210748
Kurtosis24.48034254
Mean0.4888334247
Median Absolute Deviation (MAD)0.1313311005
Skewness4.165949311
Sum50.83867617
Variance0.0910339276
MonotonicityNot monotonic
2025-11-14T18:33:19.619369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.5912986249
 
8.7%
0.2487617821
 
1.0%
0.1815877351
 
1.0%
0.3110652331
 
1.0%
0.5326250691
 
1.0%
0.2183101771
 
1.0%
0.4654440521
 
1.0%
0.3661855951
 
1.0%
0.4152803031
 
1.0%
0.3090869521
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.1815877351
1.0%
0.1888820751
1.0%
0.1978936421
1.0%
0.2015424571
1.0%
0.2035169881
1.0%
ValueCountFrequency (%)
2.557296651
1.0%
1.8647656481
1.0%
1.0619389871
1.0%
0.9802005841
1.0%
0.8443384271
1.0%

mean_acc_on_paper24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1273443004
Minimum0.066441018
Maximum0.281645685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:19.709331image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.066441018
5-th percentile0.083502161
Q10.1138116117
median0.1263789845
Q30.1420919815
95-th percentile0.1649499666
Maximum0.281645685
Range0.215204667
Interquartile range (IQR)0.02828036975

Descriptive statistics

Standard deviation0.02824734196
Coefficient of variation (CV)0.2218186592
Kurtosis7.501138599
Mean0.1273443004
Median Absolute Deviation (MAD)0.0149427595
Skewness1.409638677
Sum13.24380724
Variance0.000797912328
MonotonicityNot monotonic
2025-11-14T18:33:19.790743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0835021619
 
8.7%
0.1488396981
 
1.0%
0.1289510551
 
1.0%
0.135492421
 
1.0%
0.1791787751
 
1.0%
0.1631152961
 
1.0%
0.1248101571
 
1.0%
0.1505078961
 
1.0%
0.1329073941
 
1.0%
0.1119833591
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0664410181
 
1.0%
0.0835021619
8.7%
0.0891319851
 
1.0%
0.0953990031
 
1.0%
0.0955862631
 
1.0%
ValueCountFrequency (%)
0.2816456851
1.0%
0.1791787751
1.0%
0.1738419181
1.0%
0.1717469691
1.0%
0.1666111551
1.0%

mean_gmrt24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.2622746
Minimum60.04765179
Maximum543.6955731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:19.874056image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum60.04765179
5-th percentile80.62992307
Q1114.8213388
median153.1349263
Q3197.4974096
95-th percentile229.5156944
Maximum543.6955731
Range483.6479213
Interquartile range (IQR)82.67607075

Descriptive statistics

Standard deviation66.33192606
Coefficient of variation (CV)0.4191265811
Kurtosis11.10408148
Mean158.2622746
Median Absolute Deviation (MAD)41.36050645
Skewness2.32724648
Sum16459.27656
Variance4399.924415
MonotonicityNot monotonic
2025-11-14T18:33:19.970924image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198.44707649
 
8.7%
115.54290621
 
1.0%
68.787883241
 
1.0%
80.237174391
 
1.0%
312.7052851
 
1.0%
112.34807881
 
1.0%
103.39497641
 
1.0%
85.123241791
 
1.0%
207.23382241
 
1.0%
169.48269821
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
60.047651791
1.0%
62.76659171
1.0%
67.567101381
1.0%
68.544439961
1.0%
68.787883241
1.0%
ValueCountFrequency (%)
543.69557311
1.0%
392.49965511
1.0%
312.7052851
1.0%
261.55877841
1.0%
241.18623011
1.0%

mean_jerk_in_air24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08303359321
Minimum0.022294745
Maximum0.49485465
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:20.065358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.022294745
5-th percentile0.0308618519
Q10.0484706
median0.074407744
Q30.104819019
95-th percentile0.1489811165
Maximum0.49485465
Range0.472559905
Interquartile range (IQR)0.056348419

Descriptive statistics

Standard deviation0.06000518016
Coefficient of variation (CV)0.7226614897
Kurtosis24.77256764
Mean0.08303359321
Median Absolute Deviation (MAD)0.0276550905
Skewness4.205436651
Sum8.635493694
Variance0.003600621646
MonotonicityNot monotonic
2025-11-14T18:33:20.173076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1048190199
 
8.7%
0.0313757741
 
1.0%
0.0281588151
 
1.0%
0.0475284771
 
1.0%
0.0877785221
 
1.0%
0.0307991631
 
1.0%
0.0794289721
 
1.0%
0.0587604411
 
1.0%
0.0696707341
 
1.0%
0.0460231481
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0222947451
1.0%
0.0239606321
1.0%
0.0281588151
1.0%
0.029013921
1.0%
0.0307851531
1.0%
ValueCountFrequency (%)
0.494854651
1.0%
0.3598357461
1.0%
0.196741951
1.0%
0.1781367151
1.0%
0.1521487711
1.0%

mean_jerk_on_paper24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01606777483
Minimum0.009769139
Maximum0.030773124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:20.257305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.009769139
5-th percentile0.011944666
Q10.014175519
median0.01578652
Q30.0175124775
95-th percentile0.0206356792
Maximum0.030773124
Range0.021003985
Interquartile range (IQR)0.0033369585

Descriptive statistics

Standard deviation0.003133095339
Coefficient of variation (CV)0.1949924848
Kurtosis5.294654766
Mean0.01606777483
Median Absolute Deviation (MAD)0.00170651
Skewness1.528564544
Sum1.671048582
Variance9.816286406 × 10-6
MonotonicityNot monotonic
2025-11-14T18:33:20.350725image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0119446669
 
8.7%
0.0179448951
 
1.0%
0.0160685621
 
1.0%
0.0153094761
 
1.0%
0.0278685881
 
1.0%
0.0171683771
 
1.0%
0.0157559181
 
1.0%
0.0167464551
 
1.0%
0.0165550461
 
1.0%
0.0150866481
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0097691391
 
1.0%
0.0110687241
 
1.0%
0.0119446669
8.7%
0.0125668061
 
1.0%
0.0126625711
 
1.0%
ValueCountFrequency (%)
0.0307731241
1.0%
0.0278685881
1.0%
0.0226908771
1.0%
0.0225318361
1.0%
0.0211796991
1.0%

mean_speed_in_air24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.105501329
Minimum1.027825522
Maximum9.558544463
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:20.443104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.027825522
5-th percentile1.643305748
Q12.23508312
median2.873770132
Q33.845078545
95-th percentile4.816683653
Maximum9.558544463
Range8.530718941
Interquartile range (IQR)1.609995425

Descriptive statistics

Standard deviation1.261356045
Coefficient of variation (CV)0.4061682517
Kurtosis6.093483934
Mean3.105501329
Median Absolute Deviation (MAD)0.8100712395
Skewness1.694078126
Sum322.9721382
Variance1.591019073
MonotonicityNot monotonic
2025-11-14T18:33:20.525639image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.949190399
 
8.7%
2.6757615021
 
1.0%
1.1384723911
 
1.0%
1.672059141
 
1.0%
6.3960315391
 
1.0%
1.3431937581
 
1.0%
2.4565320671
 
1.0%
1.9486701311
 
1.0%
3.6288066131
 
1.0%
3.2656271371
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
1.0278255221
1.0%
1.1384723911
1.0%
1.2484789671
1.0%
1.3431937581
1.0%
1.3974210881
1.0%
ValueCountFrequency (%)
9.5585444631
1.0%
6.5534441051
1.0%
6.3960315391
1.0%
6.1138664751
1.0%
5.4268171141
1.0%

mean_speed_on_paper24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.279419956
Minimum0.578824682
Maximum8.500361573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:20.606289image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.578824682
5-th percentile0.9352983193
Q11.576748231
median2.152342527
Q32.796607525
95-th percentile3.937888357
Maximum8.500361573
Range7.921536891
Interquartile range (IQR)1.219859294

Descriptive statistics

Standard deviation1.104214864
Coefficient of variation (CV)0.4844280061
Kurtosis8.694105134
Mean2.279419956
Median Absolute Deviation (MAD)0.6442649985
Skewness1.959889596
Sum237.0596754
Variance1.219290466
MonotonicityNot monotonic
2025-11-14T18:33:20.719904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.7966075259
 
8.7%
1.4836436851
 
1.0%
1.055986291
 
1.0%
1.1100089721
 
1.0%
4.9392106131
 
1.0%
2.2748197491
 
1.0%
1.1684627661
 
1.0%
0.9344268641
 
1.0%
3.1546053751
 
1.0%
2.5703593731
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.5788246821
1.0%
0.6659883291
1.0%
0.763749551
1.0%
0.7977981221
1.0%
0.9106454511
1.0%
ValueCountFrequency (%)
8.5003615731
1.0%
4.9392106131
1.0%
4.7768687561
1.0%
4.0780216411
1.0%
4.0399144251
1.0%

num_of_pendown24
Real number (ℝ)

Distinct33
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.92307692
Minimum10
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:20.799107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19
Q123
median25
Q333
95-th percentile46.55
Maximum87
Range77
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.82862441
Coefficient of variation (CV)0.4089683972
Kurtosis9.608023281
Mean28.92307692
Median Absolute Deviation (MAD)4
Skewness2.610821722
Sum3008
Variance139.9163555
MonotonicityNot monotonic
2025-11-14T18:33:20.873913image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2418
17.3%
227
 
6.7%
217
 
6.7%
237
 
6.7%
275
 
4.8%
284
 
3.8%
254
 
3.8%
264
 
3.8%
334
 
3.8%
194
 
3.8%
Other values (23)40
38.5%
ValueCountFrequency (%)
101
 
1.0%
111
 
1.0%
121
 
1.0%
171
 
1.0%
194
3.8%
ValueCountFrequency (%)
871
1.0%
841
1.0%
671
1.0%
551
1.0%
501
1.0%

paper_time24
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19865.81731
Minimum4655
Maximum65555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:20.956239image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum4655
5-th percentile8194.75
Q114265
median17590
Q324656.25
95-th percentile35370.25
Maximum65555
Range60900
Interquartile range (IQR)10391.25

Descriptive statistics

Standard deviation9582.153545
Coefficient of variation (CV)0.4823437866
Kurtosis4.781238051
Mean19865.81731
Median Absolute Deviation (MAD)5177.5
Skewness1.645110274
Sum2066045
Variance91817666.56
MonotonicityNot monotonic
2025-11-14T18:33:21.047856image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
198159
 
8.7%
167852
 
1.9%
262601
 
1.0%
269751
 
1.0%
57651
 
1.0%
157001
 
1.0%
246101
 
1.0%
338851
 
1.0%
148601
 
1.0%
185051
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
46551
1.0%
57651
1.0%
58301
1.0%
72801
1.0%
76051
1.0%
ValueCountFrequency (%)
655551
1.0%
504201
1.0%
427801
1.0%
403351
1.0%
381951
1.0%

pressure_mean24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1605.669669
Minimum663.3254034
Maximum1946.510403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:21.141174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum663.3254034
5-th percentile932.4879606
Q11481.153192
median1690.943536
Q31849.498419
95-th percentile1898.795867
Maximum1946.510403
Range1283.185
Interquartile range (IQR)368.3452275

Descriptive statistics

Standard deviation301.2573449
Coefficient of variation (CV)0.1876209975
Kurtosis1.368119535
Mean1605.669669
Median Absolute Deviation (MAD)162.114249
Skewness-1.375623146
Sum166989.6456
Variance90755.98784
MonotonicityNot monotonic
2025-11-14T18:33:21.239782image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1853.0577859
 
8.7%
1464.0184691
 
1.0%
1824.9447571
 
1.0%
1369.9646021
 
1.0%
1738.4735471
 
1.0%
1205.8452231
 
1.0%
1728.8017071
 
1.0%
1580.5028771
 
1.0%
1911.3812251
 
1.0%
1946.5104031
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
663.32540341
1.0%
699.86452481
1.0%
701.94412491
1.0%
893.62187571
1.0%
908.92364461
1.0%
ValueCountFrequency (%)
1946.5104031
1.0%
1924.6465821
1.0%
1911.3812251
1.0%
1909.0257671
1.0%
1902.1663381
1.0%

pressure_var24
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean236791.6886
Minimum105124.9956
Maximum485839.002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:21.334379image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum105124.9956
5-th percentile127398.1451
Q1170373.128
median227253.7282
Q3277570.1776
95-th percentile381914.28
Maximum485839.002
Range380714.0064
Interquartile range (IQR)107197.0496

Descriptive statistics

Standard deviation77695.96701
Coefficient of variation (CV)0.3281194854
Kurtosis0.8396546695
Mean236791.6886
Median Absolute Deviation (MAD)50779.32575
Skewness0.8294673462
Sum24626335.61
Variance6036663290
MonotonicityNot monotonic
2025-11-14T18:33:21.427284image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
164783.13859
 
8.7%
242313.48351
 
1.0%
199761.03341
 
1.0%
245845.1651
 
1.0%
208490.16081
 
1.0%
249468.88431
 
1.0%
305836.71161
 
1.0%
356656.64011
 
1.0%
144897.90611
 
1.0%
105124.99561
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
105124.99561
1.0%
107393.82521
1.0%
113734.15311
1.0%
120760.79061
1.0%
121415.50751
1.0%
ValueCountFrequency (%)
485839.0021
1.0%
467562.54561
1.0%
439601.06661
1.0%
416430.30021
1.0%
397660.10881
1.0%

total_time24
Real number (ℝ)

Distinct94
Distinct (%)90.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67289.80769
Minimum15375
Maximum358665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:21.531516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum15375
5-th percentile24390
Q137487.5
median49850
Q387848.75
95-th percentile147866
Maximum358665
Range343290
Interquartile range (IQR)50361.25

Descriptive statistics

Standard deviation49133.50854
Coefficient of variation (CV)0.7301775741
Kurtosis11.54514982
Mean67289.80769
Median Absolute Deviation (MAD)16342.5
Skewness2.708397307
Sum6998140
Variance2414101662
MonotonicityNot monotonic
2025-11-14T18:33:21.791688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
431009
 
8.7%
243902
 
1.9%
359802
 
1.9%
592651
 
1.0%
338051
 
1.0%
1128301
 
1.0%
577351
 
1.0%
369751
 
1.0%
526201
 
1.0%
494351
 
1.0%
Other values (84)84
80.8%
ValueCountFrequency (%)
153751
1.0%
204401
1.0%
220151
1.0%
230401
1.0%
238201
1.0%
ValueCountFrequency (%)
3586651
1.0%
2099001
1.0%
1817001
1.0%
1761251
1.0%
1612851
1.0%

air_time25
Real number (ℝ)

Distinct95
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125808.0288
Minimum8305
Maximum5629120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:21.886294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum8305
5-th percentile15191.25
Q123255
median36605
Q384950
95-th percentile311662.25
Maximum5629120
Range5620815
Interquartile range (IQR)61695

Descriptive statistics

Standard deviation552333.1888
Coefficient of variation (CV)4.39028569
Kurtosis98.34476623
Mean125808.0288
Median Absolute Deviation (MAD)16012.5
Skewness9.796341341
Sum13084035
Variance3.050719514 × 1011
MonotonicityNot monotonic
2025-11-14T18:33:21.969682image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
232559
 
8.7%
1064252
 
1.9%
441851
 
1.0%
125751
 
1.0%
996151
 
1.0%
223201
 
1.0%
352901
 
1.0%
309651
 
1.0%
376201
 
1.0%
151501
 
1.0%
Other values (85)85
81.7%
ValueCountFrequency (%)
83051
1.0%
102801
1.0%
125751
1.0%
126851
1.0%
140501
1.0%
ValueCountFrequency (%)
56291201
1.0%
5845051
1.0%
3533901
1.0%
3305501
1.0%
3153201
1.0%

disp_index25
Real number (ℝ)

Distinct84
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.463269231 × 10-5
Minimum2.95 × 10-5
Maximum9.28 × 10-5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:22.056314image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.95 × 10-5
5-th percentile3.947 × 10-5
Q14.8025 × 10-5
median5.365 × 10-5
Q35.86 × 10-5
95-th percentile7.2585 × 10-5
Maximum9.28 × 10-5
Range6.33 × 10-5
Interquartile range (IQR)1.0575 × 10-5

Descriptive statistics

Standard deviation1.014529823 × 10-5
Coefficient of variation (CV)0.185700133
Kurtosis1.632912607
Mean5.463269231 × 10-5
Median Absolute Deviation (MAD)5.4 × 10-6
Skewness0.6954603659
Sum0.0056818
Variance1.029270762 × 10-10
MonotonicityNot monotonic
2025-11-14T18:33:22.146156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.74 × 10-59
 
8.7%
6.03 × 10-52
 
1.9%
4.1 × 10-52
 
1.9%
5.29 × 10-52
 
1.9%
5.5 × 10-52
 
1.9%
5.86 × 10-52
 
1.9%
4.98 × 10-52
 
1.9%
6.04 × 10-52
 
1.9%
3.63 × 10-52
 
1.9%
4.64 × 10-52
 
1.9%
Other values (74)77
74.0%
ValueCountFrequency (%)
2.95 × 10-51
1.0%
3.63 × 10-52
1.9%
3.78 × 10-51
1.0%
3.89 × 10-51
1.0%
3.92 × 10-51
1.0%
ValueCountFrequency (%)
9.28 × 10-51
1.0%
8.38 × 10-51
1.0%
7.59 × 10-51
1.0%
7.36 × 10-51
1.0%
7.34 × 10-51
1.0%

gmrt_in_air25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean230.3874097
Minimum75.26019769
Maximum565.4691946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:22.236939image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum75.26019769
5-th percentile106.3504028
Q1183.0728788
median226.8906052
Q3280.517423
95-th percentile334.2867548
Maximum565.4691946
Range490.2089969
Interquartile range (IQR)97.44454418

Descriptive statistics

Standard deviation79.24026488
Coefficient of variation (CV)0.3439435557
Kurtosis2.816607284
Mean230.3874097
Median Absolute Deviation (MAD)53.18219665
Skewness0.8919608821
Sum23960.29061
Variance6279.019579
MonotonicityNot monotonic
2025-11-14T18:33:22.332644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
280.5174239
 
8.7%
206.33049211
 
1.0%
182.50824141
 
1.0%
184.72561251
 
1.0%
565.46919461
 
1.0%
124.47683561
 
1.0%
204.88138941
 
1.0%
167.5105561
 
1.0%
167.07635031
 
1.0%
195.26231271
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
75.260197691
1.0%
86.117901621
1.0%
90.830173051
1.0%
97.594574961
1.0%
101.82817691
1.0%
ValueCountFrequency (%)
565.46919461
1.0%
472.57229691
1.0%
447.6907981
1.0%
343.56717031
1.0%
336.90433481
1.0%

gmrt_on_paper25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.37118
Minimum64.59586877
Maximum357.3105384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:22.423114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum64.59586877
5-th percentile100.527393
Q1172.6537249
median204.3396518
Q3235.399722
95-th percentile289.9033383
Maximum357.3105384
Range292.7146696
Interquartile range (IQR)62.7459971

Descriptive statistics

Standard deviation55.89596304
Coefficient of variation (CV)0.2789620895
Kurtosis0.3994301836
Mean200.37118
Median Absolute Deviation (MAD)31.43060645
Skewness-0.07558515672
Sum20838.60272
Variance3124.358685
MonotonicityNot monotonic
2025-11-14T18:33:22.524783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
248.10412869
 
8.7%
198.07322481
 
1.0%
227.2630381
 
1.0%
292.71419111
 
1.0%
295.97222521
 
1.0%
157.08622981
 
1.0%
168.69926851
 
1.0%
126.67880221
 
1.0%
215.04853821
 
1.0%
214.52909271
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
64.595868771
1.0%
68.398885511
1.0%
83.588986511
1.0%
89.78511471
1.0%
97.097601581
1.0%
ValueCountFrequency (%)
357.31053841
1.0%
342.2185571
1.0%
319.23221851
1.0%
295.97222521
1.0%
292.71419111
1.0%

max_x_extension25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7918.413462
Minimum3077
Maximum14304
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:22.632431image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum3077
5-th percentile4753.15
Q16072.5
median7535.5
Q38938.5
95-th percentile14304
Maximum14304
Range11227
Interquartile range (IQR)2866

Descriptive statistics

Standard deviation2558.804874
Coefficient of variation (CV)0.3231461562
Kurtosis1.097274677
Mean7918.413462
Median Absolute Deviation (MAD)1465.5
Skewness1.090595157
Sum823515
Variance6547482.381
MonotonicityNot monotonic
2025-11-14T18:33:22.723299image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
143049
 
8.7%
84921
 
1.0%
71371
 
1.0%
82921
 
1.0%
74141
 
1.0%
101001
 
1.0%
61591
 
1.0%
46241
 
1.0%
87731
 
1.0%
58551
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
30771
1.0%
40231
1.0%
44511
1.0%
46241
1.0%
46251
1.0%
ValueCountFrequency (%)
143049
8.7%
117301
 
1.0%
101361
 
1.0%
101281
 
1.0%
101161
 
1.0%

max_y_extension25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15857.34615
Minimum10474
Maximum20172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:22.811678image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum10474
5-th percentile11815.85
Q114246
median15835.5
Q317409.5
95-th percentile19388
Maximum20172
Range9698
Interquartile range (IQR)3163.5

Descriptive statistics

Standard deviation2203.881588
Coefficient of variation (CV)0.1389817417
Kurtosis-0.330643794
Mean15857.34615
Median Absolute Deviation (MAD)1577
Skewness-0.2109115432
Sum1649164
Variance4857094.054
MonotonicityNot monotonic
2025-11-14T18:33:22.906910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193889
 
8.7%
181761
 
1.0%
132151
 
1.0%
159911
 
1.0%
169001
 
1.0%
170111
 
1.0%
107131
 
1.0%
155321
 
1.0%
152631
 
1.0%
142571
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
104741
1.0%
107131
1.0%
110751
1.0%
114951
1.0%
115281
1.0%
ValueCountFrequency (%)
201721
 
1.0%
197691
 
1.0%
193889
8.7%
192731
 
1.0%
186681
 
1.0%

mean_acc_in_air25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7980530186
Minimum0.19994924
Maximum1.949432667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:22.990186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.19994924
5-th percentile0.3512353047
Q10.595596378
median0.7586942685
Q31.083049201
95-th percentile1.200666904
Maximum1.949432667
Range1.749483427
Interquartile range (IQR)0.4874528235

Descriptive statistics

Standard deviation0.3075679188
Coefficient of variation (CV)0.3853978516
Kurtosis1.786778937
Mean0.7980530186
Median Absolute Deviation (MAD)0.2040912295
Skewness0.7738415218
Sum82.99751393
Variance0.09459802468
MonotonicityNot monotonic
2025-11-14T18:33:23.089912image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.0852263489
 
8.7%
0.2961406851
 
1.0%
0.7301513121
 
1.0%
0.4832983681
 
1.0%
1.8796917481
 
1.0%
0.4193355711
 
1.0%
0.7685546731
 
1.0%
0.6800952051
 
1.0%
0.199949241
 
1.0%
0.6818604191
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.199949241
1.0%
0.2487283221
1.0%
0.2961406851
1.0%
0.3155209271
1.0%
0.3320262211
1.0%
ValueCountFrequency (%)
1.9494326671
1.0%
1.8796917481
1.0%
1.3829532581
1.0%
1.2217180971
1.0%
1.2104585891
1.0%

mean_acc_on_paper25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1584864444
Minimum0.118686206
Maximum0.226919997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:23.180880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.118686206
5-th percentile0.1326717735
Q10.144780367
median0.1549581245
Q30.167469133
95-th percentile0.2052237743
Maximum0.226919997
Range0.108233791
Interquartile range (IQR)0.022688766

Descriptive statistics

Standard deviation0.02157190036
Coefficient of variation (CV)0.1361119586
Kurtosis1.146660169
Mean0.1584864444
Median Absolute Deviation (MAD)0.0107501335
Skewness1.068862231
Sum16.48259022
Variance0.0004653468851
MonotonicityNot monotonic
2025-11-14T18:33:23.273791image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1447803679
 
8.7%
0.1712616491
 
1.0%
0.1900807571
 
1.0%
0.2269199971
 
1.0%
0.2178402111
 
1.0%
0.1252583371
 
1.0%
0.1571493241
 
1.0%
0.1652540111
 
1.0%
0.1656378581
 
1.0%
0.1497844551
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.1186862061
1.0%
0.1252402451
1.0%
0.1252583371
1.0%
0.1287803241
1.0%
0.1309901731
1.0%
ValueCountFrequency (%)
0.2269199971
1.0%
0.2205421271
1.0%
0.2178402111
1.0%
0.2114098311
1.0%
0.2073776421
1.0%

mean_gmrt25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.3792948
Minimum69.92803323
Maximum430.7207099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:23.357559image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum69.92803323
5-th percentile116.6296186
Q1182.7014128
median208.6792728
Q3259.1797871
95-th percentile293.8028734
Maximum430.7207099
Range360.7926767
Interquartile range (IQR)76.4783743

Descriptive statistics

Standard deviation61.92176778
Coefficient of variation (CV)0.2875010238
Kurtosis1.155590022
Mean215.3792948
Median Absolute Deviation (MAD)41.8418718
Skewness0.3091278567
Sum22399.44666
Variance3834.305325
MonotonicityNot monotonic
2025-11-14T18:33:23.447494image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
264.31077589
 
8.7%
202.20185851
 
1.0%
204.88563971
 
1.0%
238.71990181
 
1.0%
430.72070991
 
1.0%
140.78153271
 
1.0%
186.79032891
 
1.0%
147.09467911
 
1.0%
191.06244421
 
1.0%
204.89570271
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
69.928033231
1.0%
77.258393571
1.0%
105.21537221
1.0%
107.30446051
1.0%
112.03773971
1.0%
ValueCountFrequency (%)
430.72070991
1.0%
407.3954271
1.0%
332.74854661
1.0%
310.8182791
1.0%
303.44164231
1.0%

mean_jerk_in_air25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1460579097
Minimum0.030169378
Maximum0.375077723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:23.524207image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.030169378
5-th percentile0.05551440095
Q10.1074167407
median0.1387036405
Q30.2041955075
95-th percentile0.2245210964
Maximum0.375077723
Range0.344908345
Interquartile range (IQR)0.09677876675

Descriptive statistics

Standard deviation0.06169277002
Coefficient of variation (CV)0.4223856836
Kurtosis1.684540539
Mean0.1460579097
Median Absolute Deviation (MAD)0.041550286
Skewness0.765072169
Sum15.19002261
Variance0.003805997873
MonotonicityNot monotonic
2025-11-14T18:33:23.618811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2059816069
 
8.7%
0.0435335411
 
1.0%
0.1315054081
 
1.0%
0.0818340261
 
1.0%
0.3618557311
 
1.0%
0.0722853451
 
1.0%
0.1405518151
 
1.0%
0.1217816141
 
1.0%
0.0301693781
 
1.0%
0.1227477871
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0301693781
1.0%
0.0401983931
1.0%
0.0435335411
1.0%
0.0487513181
1.0%
0.0496630911
1.0%
ValueCountFrequency (%)
0.3750777231
1.0%
0.3618557311
1.0%
0.2651762111
1.0%
0.2317639281
1.0%
0.2278167021
1.0%

mean_jerk_on_paper25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0199094779
Minimum0.014986857
Maximum0.026753654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:23.712476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.014986857
5-th percentile0.0170480378
Q10.0180516885
median0.019455744
Q30.0208836445
95-th percentile0.02518335815
Maximum0.026753654
Range0.011766797
Interquartile range (IQR)0.002831956

Descriptive statistics

Standard deviation0.002463338028
Coefficient of variation (CV)0.1237269023
Kurtosis0.4709907978
Mean0.0199094779
Median Absolute Deviation (MAD)0.0014257085
Skewness0.8798481361
Sum2.070585702
Variance6.068034239 × 10-6
MonotonicityNot monotonic
2025-11-14T18:33:23.806347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0188960039
 
8.7%
0.0213113311
 
1.0%
0.0236541991
 
1.0%
0.0257591611
 
1.0%
0.0239754171
 
1.0%
0.0161889941
 
1.0%
0.0202467041
 
1.0%
0.0208723661
 
1.0%
0.0219104441
 
1.0%
0.0195903631
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.0149868571
1.0%
0.0161473661
1.0%
0.0161889941
1.0%
0.016293811
1.0%
0.0170239311
1.0%
ValueCountFrequency (%)
0.0267536541
1.0%
0.0262351041
1.0%
0.0259409381
1.0%
0.0257591611
1.0%
0.0252019321
1.0%

mean_speed_in_air25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.29901781
Minimum1.323564589
Maximum10.41671523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:24.079066image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.323564589
5-th percentile1.931704213
Q13.458190692
median4.297580002
Q34.972019913
95-th percentile6.17423586
Maximum10.41671523
Range9.093150641
Interquartile range (IQR)1.513829221

Descriptive statistics

Standard deviation1.428521071
Coefficient of variation (CV)0.3322901031
Kurtosis3.191243114
Mean4.29901781
Median Absolute Deviation (MAD)0.768983872
Skewness0.9212844333
Sum447.0978523
Variance2.040672452
MonotonicityNot monotonic
2025-11-14T18:33:24.165116image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.8063607369
 
8.7%
3.9266176761
 
1.0%
3.5124832741
 
1.0%
3.5666756081
 
1.0%
10.416715231
 
1.0%
2.3473631511
 
1.0%
4.012502751
 
1.0%
3.3190355571
 
1.0%
3.0031631281
 
1.0%
3.9684182871
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
1.3235645891
1.0%
1.6659729191
1.0%
1.8099536661
1.0%
1.8445625111
1.0%
1.8621165411
1.0%
ValueCountFrequency (%)
10.416715231
1.0%
8.9646036591
1.0%
7.7377076311
1.0%
6.7981182171
1.0%
6.3718884341
1.0%

mean_speed_on_paper25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.821636389
Minimum0.950248883
Maximum5.29256162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:24.258728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.950248883
5-th percentile1.354451869
Q12.418554674
median2.830671789
Q33.335827804
95-th percentile4.330409402
Maximum5.29256162
Range4.342312737
Interquartile range (IQR)0.9172731295

Descriptive statistics

Standard deviation0.8547167099
Coefficient of variation (CV)0.3029152563
Kurtosis0.5799746007
Mean2.821636389
Median Absolute Deviation (MAD)0.505156015
Skewness0.2249592366
Sum293.4501844
Variance0.7305406542
MonotonicityNot monotonic
2025-11-14T18:33:24.342735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.3358278049
 
8.7%
3.0266286981
 
1.0%
3.1398530181
 
1.0%
4.7851481481
 
1.0%
4.8362540611
 
1.0%
2.1060618381
 
1.0%
2.4423638651
 
1.0%
1.6806288511
 
1.0%
2.7689047151
 
1.0%
2.8976859121
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
0.9502488831
1.0%
1.1263453891
1.0%
1.2672224011
1.0%
1.2720076731
1.0%
1.2742083571
1.0%
ValueCountFrequency (%)
5.292561621
1.0%
5.0787269031
1.0%
4.8362540611
1.0%
4.7851481481
1.0%
4.6768771441
1.0%

num_of_pendown25
Real number (ℝ)

Distinct59
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.32692308
Minimum32
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:24.427118image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile53.15
Q168
median79
Q395.25
95-th percentile129
Maximum180
Range148
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation26.30015036
Coefficient of variation (CV)0.311883197
Kurtosis1.722621569
Mean84.32692308
Median Absolute Deviation (MAD)13.5
Skewness1.102400981
Sum8770
Variance691.6979089
MonotonicityNot monotonic
2025-11-14T18:33:24.524481image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6011
 
10.6%
746
 
5.8%
844
 
3.8%
814
 
3.8%
794
 
3.8%
714
 
3.8%
883
 
2.9%
1293
 
2.9%
763
 
2.9%
683
 
2.9%
Other values (49)59
56.7%
ValueCountFrequency (%)
321
1.0%
381
1.0%
411
1.0%
511
1.0%
521
1.0%
ValueCountFrequency (%)
1801
1.0%
1711
1.0%
1491
1.0%
1341
1.0%
1311
1.0%

paper_time25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43823.31731
Minimum15930
Maximum139575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:24.618555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum15930
5-th percentile25710.75
Q133358.75
median37785
Q345758.75
95-th percentile78603.25
Maximum139575
Range123645
Interquartile range (IQR)12400

Descriptive statistics

Standard deviation21159.3864
Coefficient of variation (CV)0.4828339729
Kurtosis8.258402235
Mean43823.31731
Median Absolute Deviation (MAD)5835
Skewness2.674835605
Sum4557625
Variance447719632.8
MonotonicityNot monotonic
2025-11-14T18:33:24.705835image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
359209
 
8.7%
647401
 
1.0%
310401
 
1.0%
361251
 
1.0%
242701
 
1.0%
535201
 
1.0%
334751
 
1.0%
372851
 
1.0%
376551
 
1.0%
338451
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
159301
1.0%
227351
1.0%
231501
1.0%
242301
1.0%
242701
1.0%
ValueCountFrequency (%)
1395751
1.0%
1316101
1.0%
1267001
1.0%
1079451
1.0%
927101
1.0%

pressure_mean25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1571.170326
Minimum474.0494622
Maximum1965.069119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:24.796205image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum474.0494622
5-th percentile801.869145
Q11422.034862
median1706.12194
Q31853.738462
95-th percentile1929.296214
Maximum1965.069119
Range1491.019657
Interquartile range (IQR)431.7035998

Descriptive statistics

Standard deviation372.4843205
Coefficient of variation (CV)0.237074437
Kurtosis1.030523182
Mean1571.170326
Median Absolute Deviation (MAD)182.614911
Skewness-1.308190294
Sum163401.7139
Variance138744.5691
MonotonicityNot monotonic
2025-11-14T18:33:24.885343image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1929.2962149
 
8.7%
1253.1545411
 
1.0%
1829.0972941
 
1.0%
1856.2628371
 
1.0%
1905.0869391
 
1.0%
930.71085581
 
1.0%
1866.197611
 
1.0%
1841.7025611
 
1.0%
1256.4331431
 
1.0%
1520.7676171
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
474.04946221
1.0%
530.95454551
1.0%
558.59548631
1.0%
570.68656521
1.0%
626.63808681
1.0%
ValueCountFrequency (%)
1965.0691191
1.0%
1961.1648561
1.0%
1959.7601171
1.0%
1946.4903851
1.0%
1945.7810241
1.0%

pressure_var25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163634.0305
Minimum26984.92666
Maximum352981.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:24.975155image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum26984.92666
5-th percentile87492.18834
Q1121612.0649
median158236.7718
Q3198229.616
95-th percentile261808.9742
Maximum352981.85
Range325996.9233
Interquartile range (IQR)76617.5512

Descriptive statistics

Standard deviation58168.3434
Coefficient of variation (CV)0.3554782781
Kurtosis0.4091177194
Mean163634.0305
Median Absolute Deviation (MAD)38135.2317
Skewness0.4969069096
Sum17017939.17
Variance3383556173
MonotonicityNot monotonic
2025-11-14T18:33:25.065811image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
94373.028079
 
8.7%
193816.27651
 
1.0%
123997.03851
 
1.0%
155739.5281
 
1.0%
97723.681361
 
1.0%
159647.95421
 
1.0%
177863.24861
 
1.0%
158290.02551
 
1.0%
225547.2131
 
1.0%
183714.68161
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
26984.926661
1.0%
57819.135021
1.0%
73010.320421
1.0%
73347.343921
1.0%
84093.129441
1.0%
ValueCountFrequency (%)
352981.851
1.0%
302207.8961
1.0%
296102.76761
1.0%
287020.97291
1.0%
278744.2851
1.0%

total_time25
Real number (ℝ)

Distinct96
Distinct (%)92.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169631.3462
Minimum29980
Maximum5704200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size964.0 B
2025-11-14T18:33:25.150113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum29980
5-th percentile40591.75
Q159175
median76865
Q3134543.75
95-th percentile349243.5
Maximum5704200
Range5674220
Interquartile range (IQR)75368.75

Descriptive statistics

Standard deviation556684.6672
Coefficient of variation (CV)3.281732297
Kurtosis97.46228907
Mean169631.3462
Median Absolute Deviation (MAD)22817.5
Skewness9.73097231
Sum17641660
Variance3.098978187 × 1011
MonotonicityNot monotonic
2025-11-14T18:33:25.239743image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
591759
 
8.7%
1089251
 
1.0%
624501
 
1.0%
1067601
 
1.0%
368451
 
1.0%
1531351
 
1.0%
557951
 
1.0%
725751
 
1.0%
686201
 
1.0%
714651
 
1.0%
Other values (86)86
82.7%
ValueCountFrequency (%)
299801
1.0%
355301
1.0%
368451
1.0%
378401
1.0%
393801
1.0%
ValueCountFrequency (%)
57042001
1.0%
6166551
1.0%
4007601
1.0%
3825601
1.0%
3513001
1.0%